data compression and decompression methods for compressing and decompressing data based on an actual or expected throughput (bandwidth) of a system. In one embodiment, a controller tracks and monitors the throughput (data storage and retrieval) of a data compression system and generates control signals to enable/disable different compression algorithms when, e.g., a bottleneck occurs so as to increase the throughput and eliminate the bottleneck.
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27. A method, comprising:
selecting one or more compressors based upon a number of reads of at least a portion of a compressed data block having audio or video data to identify one or more selected compressors; and
compressing at least a portion of a second data block with the one or more selected compressors using asymmetric data compression to provide a compressed data block.
15. A method, comprising:
determining a parameter of at least a portion of a data block;
selecting one or more asymmetric compressors from among a plurality of compressors based upon the determined parameter or attribute;
compressing the at least the portion of the data block with the selected one or more asymmetric compressors to provide one or more compressed data blocks; and
storing at least a portion of the one or more compressed data blocks.
1. A method, comprising:
determining a parameter or attribute of at least a portion of a data block having audio or video data;
selecting an access profile from among a plurality of access profiles based upon the determined parameter or attribute; and
compressing the at least the portion of the data block with one or more compressors using asymmetric data compression and information from the selected access profile to create one or more compressed data blocks, the information being indicative of the one or more compressors to apply to the at least the portion of the data block.
14. A method, comprising:
determining a parameter or attribute of at least a portion of a data block;
selecting an access profile from among a plurality of access profiles based upon the determined parameter or attribute; and
compressing the at least the portion of the data block with one or more compressors utilizing information from the selected access profile to create one or more compressed data blocks, the information being indicative of the one or more compressors to apply to the at least the portion of the data block,
wherein the one or more compressors utilize at least one slow compress encoder and at least one fast decompress decoder, and
wherein compressing the at least the portion of the data block with the at least one slow compress encoder takes more time than decompressing the at least the portion of the data block with the at least one fast decompress decoder if the time were measured with the at least one slow compress encoder and the at least one fast decompress decoder running individually on a common host system.
2. The method of
compressing the plurality of data blocks to create the one or more compressed data blocks.
4. The method of
one or more files.
5. The method of
storing at least a portion of the one or more compressed data blocks in one or more files.
6. The method of
storing at least a portion of the one or more compressed data blocks.
7. The method of
retrieving at least a portion of the at least stored portion of the one or more compressed data blocks;
transmitting the at least retrieved portion of the at least stored portion of the one or more compressed data blocks over the Internet; and
decompressing the at least transmitted portion of the at least stored portion of the one more compressed data blocks.
8. The method of
selecting the one or more compressors to compress the at least the portion of the data block to create at least a second compressed data block based upon a number of reads of at least a portion of a first compressed data block that was created from the at least the portion of the data block.
9. The method of
10. The method of
compressing at least a portion of the plurality of data blocks with the one or more compressors using the asymmetric data compression and the information to create the one or more compressed data blocks.
11. The method of
at least a portion of a file.
12. The method of
compressing the at least the portion of the data block with the selected one or more asymmetric compressors to create one or more portions of the one or more compressed data blocks, the at least the portion of the data block having been compressed with the selected one or more asymmetric compressors to create the one or more portions of the one or more compressed data blocks, and further comprising:
storing at least the one or more portions of the one or more compressed data blocks.
13. The method of
retrieving at least a portion of the at least stored one or more portions of the one or more compressed data blocks;
transmitting the at least retrieved portion of the at least stored one or more portions of the one or more compressed data blocks over the Internet; and
decompressing the at least transmitted portion of the at least stored one or more portions of the one or more compressed data blocks in real-time.
16. The method of
compressing the at least the portion of the data block with the selected one or more asymmetric compressors to create one or more portions of the one or more compressed data blocks, the at least the portion of the data block having been compressed with the one or more selected asymmetric compressors to create the one or more portions of the one or more compressed data blocks, and wherein the storing comprises:
storing at least the one or more portions of the one or more compressed data blocks.
17. The method of
retrieving and transmitting at least a portion of the at least stored one or more portions of the one or more compressed data blocks based upon a user command.
18. The method of
19. The method of
retrieving and transmitting at least a portion of the at least stored one or more portions of the one or more compressed data blocks based upon a user value.
20. The method of
retrieving and transmitting at least a portion of the at least stored one or more portions of the one or more compressed data blocks based upon a utilized capacity of a portion of a memory device.
21. The method of
retrieving and transmitting at least a portion of the at least stored one or more portions of the one or more compressed data blocks based upon a throughput of a communication channel used for transmission of the at least retrieved portion of the at least stored one or more portions of the one or more compressed data blocks.
22. The method of
audio or video information.
23. The method of
retrieving and transmitting at least a portion of the at least one or more stored portions of the one or more compressed data blocks in real-time; and
decompressing a portion of the at least transmitted portion of the at least one or more stored portions of the one or more compressed data blocks after transmission in real-time.
24. The method of
selecting the one or more asymmetric compressors based upon the determined parameter or attribute and a number of reads of the at least the portion of the data block.
25. The method of
decompressing at least a portion of the one or more compressed data blocks to provide one or more decompressed data blocks based upon a first number of reads of the least the portion of one or more compressed data blocks; and
recompressing at least a portion of the one or more decompressed data blocks with the one or more asymmetric compressors.
26. The method of
28. The method of
29. The method of
30. The method of
retrieving at least a portion of the at least stored one or more portions of the one or more compressed data blocks based upon a utilized capacity of one or more central processing units (CPUs).
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This application is a continuation of U.S. patent application Ser. No. 13/154,239, filed on Jun. 6, 2011, now U.S. Pat. No. 8,553,759, which is a continuation of U.S. patent application Ser. No. 12/123,081, filed on May 19, 2008, now U.S. Pat. No. 8,073,047, which is a continuation of U.S. patent application Ser. No. 10/076,013, filed on Feb. 13, 2002, now U.S. Pat. No. 7,386,046, which claims the benefit of U.S. Provisional Application No. 60/268,394, filed on Feb. 13, 2001, each of which is fully incorporated herein by reference in its entirety.
1. Technical Field
The present invention relates generally to data compression and decompression and, in particular, to a system and method for compressing and decompressing data based on an actual or expected throughput (bandwidth) of a system that employs data compression. Additionally the present invention relates to the subsequent storage, retrieval, and management of information in data storage devices utilizing either compression and/or accelerated data storage and retrieval bandwidth.
2. Description of the Related Art
There are a variety of data compression algorithms that are currently available, both well-defined and novel. Many compression algorithms define one or more parameters that can be varied, either dynamically or a-priori, to change the performance characteristics of the algorithm. For example, with a typical dictionary based compression algorithm such as Lempel-Ziv, the size of the dictionary can affect the performance of the algorithm. Indeed, a large dictionary may be employed to yield very good compression ratios but the algorithm may take a long time to execute. If speed were more important than compression ratio, then the algorithm can be limited by selecting a smaller dictionary, thereby obtaining a much faster compression time, but at the possible cost of a lower compression ratio. The desired performance of a compression algorithm and the system in which the data compression is employed, will vary depending on the application.
Thus, one challenge in employing data compression for a given application or system is selecting one or more optimal compression algorithms from the variety of available algorithms. Indeed, the desired balance between speed and efficiency is typically a significant factor that is considered in determining which algorithm to employ for a given set of data. Algorithms that compress particularly well usually take longer to execute whereas algorithms that execute quickly usually do not compress particularly well.
Accordingly, a system and method that would provide dynamic modification of compression system parameters so as to provide an optimal balance between execution speed of the algorithm (compression rate) and the resulting compression ratio, is highly desirable.
Yet another problem within the current art is data storage and retrieval bandwidth limitations. Modern computers utilize a hierarchy of memory devices. In order to achieve maximum performance levels, modern processors utilize onboard memory and on board cache to obtain high bandwidth access to both program and data. Limitations in process technologies currently prohibit placing a sufficient quantity of onboard memory for most applications. Thus, in order to offer sufficient memory for the operating system(s), application programs, and user data, computers often use various forms of popular off-processor high speed memory including static random access memory (SRAM), synchronous dynamic random access memory (SDRAM), synchronous burst static ram (SBSRAM). Due to the prohibitive cost of the high-speed random access memory, coupled with their power volatility, a third lower level of the hierarchy exists for non-volatile mass storage devices. While mass storage devices offer increased capacity and fairly economical data storage, their data storage and retrieval bandwidth is often much less in relation to the other elements of a computing system.
Computers systems represent information in a variety of manners. Discrete information such as text and numbers are easily represented in digital data. This type of data representation is known as symbolic digital data. Symbolic digital data is thus an absolute representation of data such as a letter, figure, character, mark, machine code, or drawing.
Continuous information such as speech, music, audio, images and video, frequently exists in the natural world as analog information. As is well known to those skilled in the art, recent advances in very large scale integration (VLSI) digital computer technology have enabled both discrete and analog information to be represented with digital data. Continuous information represented as digital data is often referred to as diffuse data. Diffuse digital data is thus a representation of data that is of low information density and is typically not easily recognizable to humans in its native form.
Modern computers utilize digital data representation because of its inherent advantages. For example, digital data is more readily processed, stored, and transmitted due to its inherently high noise immunity. In addition, the inclusion of redundancy in digital data representation enables error detection and/or correction. Error detection and/or correction capabilities are dependent upon the amount and type of data redundancy, available error detection and correction processing, and extent of data corruption.
One outcome of digital data representation is the continuing need for increased capacity in data processing, storage, and transmittal. This is especially true for diffuse data where increases in fidelity and resolution create exponentially greater quantities of data. Data compression is widely used to reduce the amount of data required to process, transmit, or store a given quantity of information. In general, there are two types of data compression techniques that may be utilized either separately or jointly to encode/decode data: lossless and lossy data compression.
Over the last decade, computer processor performance has improved by at least a factor of 50. During this same period, magnetic disk storage has only improved by a factor of 5. Thus one additional problem with the existing art is that memory storage devices severely limit the performance of consumer, entertainment, office, workstation, servers, and mainframe computers for all disk and memory intensive operations.
For example, magnetic disk mass storage devices currently employed in a variety of home, business, and scientific computing applications suffer from significant seek-time access delays along with profound read/write data rate limitations. Currently the fastest available (15,000) rpm disk drives support only a 40.0 Megabyte per second data rate (MB/sec). This is in stark contrast to the modern Personal Computer's Peripheral Component Interconnect (PCI) Bus's input/output capability of 512 MB/sec and internal local bus capability of 1600 MB/sec.
Another problem within the current art is that emergent high performance disk interface standards such as the Small Computer Systems Interface (SCSI-3), iSCSI, Fibre Channel, AT Attachment UltraDMA/100+, Serial Storage Architecture, and Universal Serial Bus offer only higher data transfer rates through intermediate data buffering in random access memory. These interconnect strategies do not address the fundamental problem that all modern magnetic disk storage devices for the personal computer marketplace are still limited by the same typical physical media restriction. In practice, faster disk access data rates are only achieved by the high cost solution of simultaneously accessing multiple disk drives with a technique known within the art as data striping and redundant array of independent disks (RAID).
RAID systems often afford the user the benefit of increased data bandwidth for data storage and retrieval. By simultaneously accessing two or more disk drives, data bandwidth may be increased at a maximum rate that is linear and directly proportional to the number of disks employed. Thus another problem with modern data storage systems utilizing RAID systems is that a linear increase in data bandwidth requires a proportional number of added disk storage devices.
Another problem with most modern mass storage devices is their inherent unreliability. Many modern mass storage devices utilize rotating assemblies and other types of electromechanical components that possess failure rates one or more orders of magnitude higher than equivalent solid state devices. RAID systems employ data redundancy distributed across multiple disks to enhance data storage and retrieval reliability. In the simplest case, data may be explicitly repeated on multiple places on a single disk drive, on multiple places on two or more independent disk drives. More complex techniques are also employed that support various trade-offs between data bandwidth and data reliability.
Standard types of RAID systems currently available include RAID Levels 0, 1, and 5. The configuration selected depends on the goals to be achieved. Specifically data reliability, data validation, data storage/retrieval bandwidth, and cost all play a role in defining the appropriate RAID data storage solution. RAID level 0 entails pure data striping across multiple disk drives. This increases data bandwidth at best linearly with the number of disk drives utilized. Data reliability and validation capability are decreased. A failure of a single drive results in a complete loss of all data. Thus another problem with RAID systems is that low cost improved bandwidth requires a significant decrease in reliability.
RAID Level 1 utilizes disk mirroring where data is duplicated on an independent disk subsystem. Validation of data amongst the two independent drives is possible if the data is simultaneously accessed on both disks and subsequently compared. This tends to decrease data bandwidth from even that of a single comparable disk drive. In systems that offer hot swap capability, the failed drive is removed and a replacement drive is inserted. The data on the failed drive is then copied in the background while the entire system continues to operate in a performance degraded but fully operational mode. Once the data rebuild is complete, normal operation resumes. Hence, another problem with RAID systems is the high cost of increased reliability and associated decrease in performance.
RAID Level 5 employs disk data striping and parity error detection to increase both data bandwidth and reliability simultaneously. A minimum of three disk drives is required for this technique. In the event of a single disk drive failure, that drive may be rebuilt from parity and other data encoded on disk remaining disk drives. In systems that offer hot swap capability, the failed drive is removed and a replacement drive is inserted. The data on the failed drive is then rebuilt in the background while the entire system continues to operate in a performance degraded but fully operational mode. Once the data rebuild is complete, normal operation resumes.
Thus another problem with redundant modern mass storage devices is the degradation of data bandwidth when a storage device fails. Additional problems with bandwidth limitations and reliability similarly occur within the art by all other forms of sequential, pseudo-random, and random access mass storage devices. Typically mass storage devices include magnetic and optical tape, magnetic and optical disks, and various solid-state mass storage devices. It should be noted that the present invention applies to all forms and manners of memory devices including storage devices utilizing magnetic, optical, neural and chemical techniques or any combination thereof.
Yet another problem within the current art is the application and use of various data compression techniques. It is well known within the current art that data compression provides several unique benefits. First, data compression can reduce the time to transmit data by more efficiently utilizing low bandwidth data links. Second, data compression economizes on data storage and allows more information to be stored for a fixed memory size by representing information more efficiently.
For purposes of discussion, data compression is canonically divided into lossy and lossless techniques. Lossy data compression techniques provide for an inexact representation of the original uncompressed data such that the decoded (or reconstructed) data differs from the original unencoded/uncompressed data. Lossy data compression is also known as irreversible or noisy compression. Negentropy is defined as the quantity of information in a given set of data. Thus, one obvious advantage of lossy data compression is that the compression ratios can be larger than that dictated by the negentropy limit, all at the expense of information content, Many lossy data compression techniques seek to exploit various traits within the human senses to eliminate otherwise imperceptible data. For example, lossy data compression of visual imagery might seek to delete information content in excess of the display resolution or contrast ratio of the target display device.
On the other hand, lossless data compression techniques provide an exact representation of the original uncompressed data. Simply stated, the decoded (or reconstructed) data is identical to the original unencoded/uncompressed data. Lossless data compression is also known as reversible or noiseless compression. Thus, lossless data compression has, as its current limit, a minimum representation defined by the entropy of a given data set.
A rich and highly diverse set of lossless data compression and decompression algorithms exist within the current art. These range from the simplest “adhoc” approaches to highly sophisticated formalized techniques that span the sciences of information theory, statistics, and artificial intelligence. One fundamental problem with almost all modern approaches is the compression ratio to encoding and decoding speed achieved. As previously stated, the current theoretical limit for data compression is the entropy limit of the data set to be encoded. However, in practice, many factors actually limit the compression ratio achieved. Most modern compression algorithms are highly content dependent. Content dependency exceeds the actual statistics of individual elements and often includes a variety of other factors including their spatial location within the data set.
Of popular compression techniques, arithmetic coding possesses the highest degree of algorithmic effectiveness, and as expected, is the slowest to execute. This is followed in turn by dictionary compression, Huffman coding, and run-length coding with respectively decreasing execute times. What is not apparent from these algorithms, that is also one major deficiency within the current art, is knowledge of their algorithmic efficiency. More specifically, given a compression ratio that is within the effectiveness of multiple algorithms, the question arises as their corresponding efficiency.
Within the current art there also presently exists a strong inverse relationship between achieving the maximum (current) theoretical compression ratio, which we define as algorithmic effectiveness, and requisite processing time. For a given single algorithm the effectiveness over a broad class of data sets including text, graphics, databases, and executable object code is highly dependent upon the processing effort applied. Given a baseline data set, processor operating speed and target architecture, along with its associated supporting memory and peripheral set, we define algorithmic efficiency as the time required to achieve a given compression ratio. Algorithmic efficiency assumes that a given algorithm is implemented in an optimum object code representation executing from the optimum places in memory. This is almost never achieved in practice due to limitations within modern optimizing software compilers. It should be further noted that an optimum algorithmic implementation for a given input data set may not be optimum for a different data set. Much work remains in developing a comprehensive set of metrics for measuring data compression algorithmic performance, however for present purposes the previously defined terms of algorithmic effectiveness and efficiency should suffice.
Various solutions to this problem of optimizing algorithmic implementation are found in U.S. Pat. Nos. 6,195,024 and 6,309,424, issued on Feb. 27, 2001 and Oct. 30, 2001, respectively, to James Fallon, both of which are entitled “Content Independent Data Compression Method and System,” and are incorporated herein by reference. These patents describe data compression methods that provide content-independent data compression, wherein an optimal compression ratio for an encoded stream can be achieved regardless of the data content of the input data stream. As more fully described in the above incorporated patents, a data compression protocol comprises applying an input data stream to each of a plurality of different encoders to, in effect, generate a plurality of encoded data streams. The plurality of encoders are preferably selected based on their ability to effectively encode different types of input data. The final compressed data stream is generated by selectively combining blocks of the compressed streams output from the plurality of encoders based on one or more factors such as the optimal compression ratios obtained by the plurality of decoders. The resulting compressed output stream can achieve the greatest possible compression, preferably in real-time, regardless of the data content.
Yet another problem within the current art relates to data management and the use of existing file management systems. Present computer operating systems utilize file management systems to store and retrieve information in a uniform, easily identifiable, format. Files are collections of executable programs and/or various data objects. Files occur in a wide variety of lengths and must be stored within a data storage device. Most storage devices, and in particular, mass storage devices, work most efficiently with specific quantities of data. For example, modern magnetic disks are often divided into cylinders, heads and sectors. This breakout arises from legacy electro-mechanical considerations with the format of an individual sector often some binary multiple of bytes (512, 1024, . . . ). A fixed or variable quantity of sectors housed on an individual track. The number of sectors permitted on a single track is limited by the number of reliable flux reversals that can be encoded on the storage media per linear inch, often referred to as linear bit density. In disk drives with multiple heads and disk media, a single cylinder is comprised of multiple tracks.
A file allocation table is often used to organize both used and unused space on a mass storage device. Since a file often comprises more than one sector of data, and individual sectors or contiguous strings of sectors may be widely dispersed over multiple tracks and cylinders, a file allocation table provides a methodology of retrieving a file or portion thereof. File allocation tables are usually comprised of strings of pointers or indices that identify where various portions of a file are stored.
In-order to provide greater flexibility in the management of disk storage at the media side of the interface, logical block addresses have been substituted for legacy cylinder, head, sector addressing. This permits the individual disk to optimize its mapping from the logical address space to the physical sectors on the disk drive. Advantages with this technique include faster disk accesses by allowing the disk manufacturer greater flexibility in managing data interleaves and other high-speed access techniques. In addition, the replacement of bad media sectors can take place at the physical level and need not be the concern of the file allocation table or host computer. Furthermore, these bad sector replacement maps are definable on a disk by disk basis.
Practical limitations in the size of the data required to both represent and process an individual data block address, along with the size of individual data blocks, governs the type of file allocation tables currently in use. For example, a 4096 byte logical block size (8 sectors) employed with 32 bit logical block addresses. This yields an addressable data space of 17.59 Terabytes. Smaller logical blocks permit more efficient use of disk space. Larger logical blocks support a larger addressable data space. Thus one limitation within the current art is that disk file allocation tables and associated file management systems are a compromise between efficient data storage, access speed, and addressable data space.
Data in a computer has various levels of information content. Even within a single file, many data types and formats are utilized. Each data representation has specific meaning and each may hold differing quantities of information. Within the current art, computers process data in a native, uncompressed, format. Thus compressed data must often be decompressed prior to performing various data processing functions or operations. Modern file systems have been designed to work with data in its native format. Thus another significant problem within the current art is that file systems are not able to randomly access compressed data in an efficient manner.
Further aggravating this problem is the fact that when data is decompressed, processed and recompressed it may not fit back into its original disk space, causing disk fragmentation or complex disk space reallocation requirements. Several solutions exist within the current art including file by file and block structured compressed data management.
In file by file compression, each file is compressed when stored on disk and decompressed when retrieved. For very small files this technique is often adequate, however for larger files the compression and decompression times are too slow, resulting in inadequate system level performance. In addition, the ability to access randomly access data within a specific file is lost. The one advantage to file by file compression techniques is that they are easy to develop and are compatible with existing file systems. Thus file by file compressed data management is not an adequate solution.
Block structured disk compression operates by compressing and decompressing fixed block sizes of data. Block sizes are often fixed, but may be variable in size. A single file usually is comprised of multiple blocks, however a file may be so small as to fit within a single block. Blocks are grouped together and stored in one or more disk sectors as a group of Blocks (GOBs). A group of blocks is compressed and decompressed as a unit, thus there exists practical limitations on the size of GOBs. Most compression algorithms achieve a higher level of algorithmic effectiveness when operating on larger quantities of data. Restated, the larger the quantity of data processed with a uniform information density, the higher the compressions ratio achieved. If GOBs are small compression ratios are low and processing time short. Conversely, when GOBS are large compression ratios are higher and processing time is longer. Large GOBs tend to perform in a manner analogous to file by file compression. The two obvious benefits to block structured disk compression are psuedo-random data access and reduced data compression/decompression processing time.
Several problems exist within the current art for the management of compressed blocks. One method for storage of compressed files on disk is by contiguously storing all GOBs corresponding to a single file. However as files are processed within the computers, files may grow or shrink in size. Inefficient disk storage results when a substantial file size reduction occurs. Conversely when a file grows substantially, the additional space required to store the data may not be available contiguously. The result of this process is substantial disk fragmentation and slower access times.
An alternate method is to map compressed GOBs into the next logical free space on the disk. One problem with this method is that average file access times are substantially increased by this technique due to the random data storage. Peak access delays may be reduced since the statistics behave with a more uniform white spectral density, however this is not guaranteed.
A further layer of complexity is encountered when compressed information is to be managed on more than one data storage device. Competing requirements of data access bandwidth, data reliability/redundancy, and efficiency of storage space are encountered.
These and other limitations within the current art are solved with the present invention.
The present invention is directed to a system and method for compressing and decompressing based on the actual or expected throughput (bandwidth) of a system employing data compression and a technique of optimizing based upon planned, expected, predicted, or actual usage.
In one aspect of the present invention, a system for providing bandwidth sensitive data compression comprises:
In another aspect, a system for providing bandwidth sensitive data compression comprises a plurality of access profiles, operatively accessible by the controller that enables the controller to determine a compression routine that is associated with a data type of the data to be compressed. The access profiles comprise information that enables the controller to select a suitable compression algorithm that provides a desired balance between execution speed (rate of compression) and efficiency (compression ratio).
In yet another aspect, a system comprises a data storage controller for controlling the compression and storage of compressed data to a storage device and the retrieval and decompression of compressed data from the storage device. The system throughput tracked by the controller preferably comprises a number of pending access requests to a storage device.
In another aspect, the system comprises a data transmission controller for controlling the compression and transmission of compressed data, as well as the decompression of compressed data received over a communication channel. The system throughput tracked by the controller comprises a number of pending transmission requests over the communication channel.
In yet another aspect of the present invention, a method for providing bandwidth sensitive data compression in a data processing system, comprises the steps of:
Preferably, the first compression routine comprises a default asymmetric routine and wherein the second compression routine comprises a symmetric routine.
In another aspect, the method comprises processing a user command to load a user-selected compression routine for compressing data.
In another aspect, the method further comprises processing a user command to compress user-provided data and automatically selecting a compression routine associated with a data type of the user-provided data.
These and other aspects, features and advantages of the present invention will become apparent from the following detailed description of preferred embodiments, which is to be read in connection with the accompanying drawings.
The present invention is directed to a system and method for compressing and decompressing based on the actual or expected throughput (bandwidth) of a system employing data compression. Although one of ordinary skill in the art could readily envision various implementations for the present invention, a preferred system in which this invention is employed comprises a data storage controller that preferably utilizes a real-time data compression system to provide “accelerated” data storage and retrieval bandwidths. The concept of “accelerated” data storage and retrieval was introduced in U.S. patent application Ser. No. 09/266,394, filed Mar. 11, 1999, entitled “System and Methods For Accelerated Data Storage and Retrieval,” now U.S. Pat. No. 6,601,104, and U.S. patent application Ser. No. 09/481,243, filed Jan. 11, 2000, entitled “System and Methods For Accelerated Data Storage and Retrieval,” now U.S. Pat. No. 6,604,158, both of which are commonly assigned and incorporated herein by reference.
In general, as described in the above-incorporated applications, “accelerated” data storage comprises receiving a digital data stream at a data transmission rate which is greater than the data storage rate of a target storage device, compressing the input steam at a compression rate that increases the effective data storage rate of the target storage device and storing the compressed data in the target storage device. For instance, assume that a mass storage device (such as a hard disk) has a data storage rate of 20 megabytes per second. If a storage controller for the mass storage device is capable of compressing (in real time) an input data stream with an average compression rate of 3:1, then data can be stored in the mass storage device at a rate of 60 megabytes per second, thereby effectively increasing the storage bandwidth (“storewidth”) of the mass storage device by a factor of three. Similarly, accelerated data retrieval comprises retrieving a compressed digital data stream from a target storage device at the rate equal to, e.g., the data access rate of the target storage device and then decompressing the compressed data at a rate that increases the effective data access rate of the target storage device. Advantageously, providing accelerated data storage and retrieval at (or close to) real-time can reduce or eliminate traditional bottlenecks associated with, e.g., local and network disk accesses.
In a preferred embodiment, the present invention is implemented for providing accelerated data storage and retrieval. In one embodiment, a controller tracks and monitors the throughput (data storage and retrieval) of a data compression system and generates control signals to enable/disable different compression algorithms when, e.g., a bottleneck occurs so as to increase the throughput and eliminate the bottleneck.
In the following description of preferred embodiments, two categories of compression algorithms are defined—an “asymmetrical” data compression algorithm and a “symmetrical data compression algorithms. An asymmetrical data compression algorithm is referred to herein as one in which the execution time for the compression and decompression routines differ significantly. In particular, with an asymmetrical algorithm, either the compression routine is slow and the decompression routine is fast or the compression routine is fast and the decompression routine is slow. Examples of asymmetrical compression algorithms include dictionary-based compression schemes such as Lempel-Ziv.
On the other hand, a “symmetrical” data compression algorithm is referred to herein as one in which the execution time for the compression and the decompression routines are substantially similar. Examples of symmetrical algorithms include table-based compression schemes such as Huffman. For asymmetrical algorithms, the total execution time to perform one compress and one decompress of a data set is typically greater than the total execution time of symmetrical algorithms. But an asymmetrical algorithm typically achieves higher compression ratios than a symmetrical algorithm.
It is to be appreciated that in accordance with the present invention, symmetry may be defined in terms of overall effective bandwidth, compression ratio, or time or any combination thereof in particular, in instances of frequent data read/writes, bandwidth is the optimal parameter for symmetry. In asymmetric applications such as operating systems and programs, the governing factor is net decompression bandwidth, which is a function of both compression speed, which governs data retrieval time, and decompression speed, wherein the total governs the net effective data read bandwidth. These factors work in an analogous manner for data storage where the governing factors are both compression ratio (storage time) and compression speed. The present invention applies to any combination or subset thereof, which is utilized to optimize overall bandwidth, storage space, or any operating point in between.
Referring now to
The compression system 12 is operatively connected to the storage medium 14 using suitable protocols to write and read compressed data to and from the storage medium 14. It is to be understood that the storage medium 14 may comprise any form of memory device including all forms of sequential, pseudo-random, and random access storage devices. The memory storage device 14 may be volatile or non-volatile in nature, or any combination thereof. Storage devices as known within the current art include all forms of random access memory, magnetic and optical tape, magnetic and optical disks, along with various other forms of solid-state mass storage devices. Thus it should be noted that the current invention applies to all forms and manners of memory devices including, but not limited to, storage devices utilizing magnetic, optical, and chemical techniques, or any combination thereof. The data compression system 12 preferably operates in real-time (or substantially real-time) to compress data to be stored on the storage device 14 and to decompress data that is retrieved from the storage device 14. In addition, the compression system 12 may receive data (compressed or not compressed) via an I/O (input/output) port 16 that is transmitted over a transmission line or communication channel from a remote location, and then process such data (e.g., decompress or compress the data). The compression system 12 may further transmit data (compressed or decompressed) via the I/O port 16 to another network device for remote processing or storage.
The controller 11 utilizes information comprising a plurality of data profiles 15 to determine which compression algorithms 13 should be used by the compression system 12. In a preferred embodiment, the compression algorithms 13 comprise one or more asymmetric algorithms. As noted above, with asymmetric algorithms, the compression ratio is typically greater than the compression ratios obtained using symmetrical algorithms. Preferably, a plurality of asymmetric algorithms are selected to provide one or more asymmetric algorithms comprising a slow compress and fast decompress routine, as well as one or more asymmetric algorithms comprising a fast compress and slow decompress routine.
The compression algorithms 14 further comprise one or more symmetric algorithms, each having a compression rate and corresponding decompression rate that is substantially equal. Preferably, a plurality of symmetric algorithms are selected to provide a desired range of compression and decompression rates for data to be processed by a symmetric algorithm.
In a preferred embodiment, the overall throughput (bandwidth) of the system 10 is one factor considered by the controller 11 in deciding whether to use an asymmetrical or symmetrical compression algorithm for processing data stored to, and retrieved from, the storage device 14. Another factor that is used to determine the compression algorithm is the type of data to be processed. In a preferred embodiment, the data profiles 15 comprise information regarding predetermined access profiles of different data sets, which enables the controller 11 to select a suitable compression algorithm based on the data type. For instance, the data profiles may comprise a map that associates different data types (based on, e.g., a file extension) with preferred one(s) of the compression algorithms 13. For example, preferred access profiles considered by the controller 11 are set forth in the following table.
Access Profile 1:
Access Profile 2
Access Profile 3
Data is written to a
Data is written
The amount of times data
storage medium once
to the storage
is read from and written
(or very few times)
medium often
to the storage medium is
but is read from the
but read few
substantially the same.
storage medium many times
Times
With Access Profile 1, the decompression routine would be executed significantly more times than the corresponding compression routine. This is typical with operating systems, applications and websites, for example. Indeed, an asymmetrical application can be used to (offline) compress an (OS) operating system, application or Website using a slow compression routine to achieve a high compression ratio. After the compressed OS, application or website is stored, the asymmetric algorithm is then used during runtime to decompress, at a significant rate, the OS, application or website launched or accessed by a user.
Therefore, with data sets falling within Access Profile 1, it is preferable to utilize an asymmetrical algorithm that provides a slow compression routine and a fast decompression routine so as to provide an increase in the overall system performance as compared the performance that would be obtained using a symmetrical algorithm. Further, the compression ratio obtained using the asymmetrical algorithm would likely be higher than that obtained using a symmetrical algorithm (thus effectively increasing the storage capacity of the storage device).
With Access Profile 2, the compression routine would be executed significantly more times than the decompression routine. This is typical with a system for automatically updating an inventory database, for example, wherein an asymmetric algorithm that provides a fast compression routine and a slow decompression routine would provide an overall faster (higher throughput) and efficient (higher compression ratio) system performance than would be obtained using a symmetrical algorithm.
With Access Profile 3, where data is accessed with a similar number of reads and writes, the compression routine would be executed approximately the same number of times as the decompression routine. This is typical of most user-generated data such as documents and spreadsheets. Therefore, it is preferable to utilize a symmetrical algorithm that provides a relatively fast compression and decompression routine. This would result in an overall system performance that would be faster as compared to using an asymmetrical algorithm (although the compression ratio achieved may be lower).
The following table summarizes the three data access profiles and the type of compression algorithm that would produce optimum throughput.
Compressed
Example Data
Compression
Data
Decompression
Access Profile
Types
Algorithm
Characteristics
Algorithm
1. Write few,
Operating
Asymmetrical
Very high
Asymmetrical
Read many
systems,
(Slow compress)
compression
(Fast decompress)
Programs,
ratio
Web sites
2. Write
Automatically
Asymmetrical
Very high
Asymmetrical
many, Read
updated
(Fast
compression
(Slow
few
inventory
compress)
ratio
decompress)
database
3. Similar
User
Symmetrical
Standard
Symmetrical
number of
generated
compression
Reads and
documents
ratio
Writes
In accordance with the present invention, the access profile of a giver, data set is known a priori or determined prior to compression so that the optimum category of compression algorithm can be selected. As explained below, the selection process may be performed either manually or automatically by the controller 11 of the data compression system 12. Further, the decision regarding which routines will be used at compression time (write) and at decompression time (read) is preferably made before or at the time of compression. This is because once data is compressed using a certain algorithm, only the matching decompression routine can be used to decompress the data, regardless of how much processing time is available at the time of decompression.
Referring now to
In a preferred embodiment, the default algorithm comprises an asymmetrical algorithm since an operating system and application programs will be read from hard disk memory and decompressed during the initial use of the system 10. Indeed, as discussed above, an asymmetric algorithm that provides slow compression and fast decompression is preferable for compressing operating systems and applications so as to obtain a high compression ratio (to effectively increase the storage capacity of the hard disk) and fast data access (to effectively increase the retrieval rate from the hard disk). The initial asymmetric routine that is applied (by, e.g., a vendor) to compress the operating system and applications is preferably set as the default. The operating system will be retrieved and then decompressed using the default asymmetric routine (step 21).
During initial runtime, the controller will maintain use the default algorithm until certain conditions are met. For instance, if a read command is received (affirmative result in step 22), the controller will determine whether the data to be read from disk can be compressed using the current routine (step 23). For this determination, the controller could, e.g., read a flag value that indicates the algorithm that was used to compress the file. If the data can be decompressed using the current algorithm (affirmative determination in step 23), then the file will be retrieved, and decompressed (step 25). On the other hand, if the data cannot be decompressed using the current algorithm (negative determination in step 23), the controller will issue the appropriate control signal to the compression system to load the algorithm associated with the file (step 24) and, subsequently, decompress the file (step 25).
If a write command is received (affirmative result in step 26), the data to be stored will be compressed using the current algorithm (step 27). During the process of compression and storing the compressed data, the controller will track the throughput to determine whether the throughput is meeting a predetermined threshold (step 28). For example, the controller may track the number of pending disk accesses (access requests) to determine whether a bottleneck is occurring. If the throughput of the system is not meeting the desired threshold (e.g., the compression system cannot maintain the required or requested data rates)(negative determination in step 28), then the controller will command the data compression system to utilize a compression routine providing faster compression (e.g., a fast symmetric compression algorithm) (step 29) so as to mitigate or eliminate the bottleneck.
If, on the other hand, the system throughput is meeting or exceeding the threshold (affirmative determination in step 28) and the current algorithm being used is a symmetrical routine (affirmative determination in step 30), in an effort to achieve optimal compression ratios, the controller will command the data compression system to use an asymmetric compression algorithm (step 31) that may provide a slower rate of compression, but provide efficient compression.
This process is repeated such that whenever the controller determines that the compression system can maintain the required/requested data throughput using a slow (highly efficient) asymmetrical compression algorithm, the controller will allow the compression system to operate in the asymmetrical mode. This will allow the system to obtain maximum storage capacity on the disk. Further, the controller will command the compression system to use a symmetric routine comprising a fast compression routine when the desired throughput is not met. This will allow the system to, e.g., service the backlogged disk accesses. Then, when the controller determines that the required/requested data rates are subsequently lower and the compression system can maintain the data rate, the controller can command the compression system to use a slower (but more efficient) asymmetric compression algorithm.
With the above-described method depicted in
It is to be appreciated that the present invention may be implemented in any data processing system, device, or apparatus using data compression. For instance, the present invention may be employed in a data transmission controller in a network environment to provide accelerated data transmission over a communication channel (i.e., effectively increase the transmission bandwidth by compressing the data at the source and decompressing data at the receiver, in real-time).
Further, the present invention can be implemented with a data storage controller utilizing data compression and decompression to provided accelerated data storage and retrieval from a mass storage device. Exemplary embodiments of preferred data storage controllers in which the present invention may be implemented are described, for example, in U.S. patent application Ser. No. 09/775,905, filed on Feb. 2, 2001, entitled “Data Storewidth Accelerator”, now U.S. Pat. No. 6,748,457, which is commonly assigned and fully incorporated herein by reference.
The data storage controller 120 further comprises a plurality of memory devices including a RAM (random access memory) device 123 and a ROM (read only memory) device 124 (or FLASH memory or other types of non-volatile memory). The RAM device 123 is utilized as on-board cache and is preferably implemented as SDRAM. The ROM device 124 is utilized for non-volatile storage of logic code associated with the DSP 121 and configuration data used by the DSP 121 to program the programmable logic device 122.
The DSP 121 is operatively connected to the memory devices 123, 124 and the programmable logic device 122 via a local bus 125. The DSP 121 is also operatively connected to the programmable logic device 122 via an independent control bus 126. The programmable logic device 122 provides data flow control between the DSP 121 and the host computer system attached to the bus 116, as well as data flow control between the DSP 121 and the storage device. A plurality of external. I/O ports 127 are included for data transmission and/or loading of one or more programmable logic devices. Preferably, the disk interface 114 driven by the programmable logic device 122 supports a plurality of hard drives.
The storage controller 120 further comprises computer reset and power up circuitry 128 (or “boot configuration circuit”) for controlling initialization (either cold or warm boots) of the host computer system and storage controller 120. A preferred boot configuration circuit and preferred computer initialization systems and protocols are described in U.S. patent application Ser. No. 09/775,897, filed on Feb. 2, 2001, entitled “System and Methods For Computer Initialization,” published as U.S. Patent Publication No. US 2001-0047473 A1, which is commonly assigned and incorporated herein by reference. Preferably, the boot configuration circuit 128 is employed for controlling the initializing and programming the programmable logic device 122 during configuration of the host computer system (i.e., while the CPU of the host is held in reset). The boot configuration circuit 128 ensures that the programmable logic device 122 (and possibly other volatile or partially volatile logic devices) is initialized and programmed before the bus 116 (such as a PCI bus) is fully reset. In particular, when power is first applied to the boot configuration circuit 128, the boot configuration circuit 28 generates a control signal to reset the local system (e.g., storage controller 120) devices such as a DSP, memory, and I/O interfaces. Once the local system is powered-up and reset, the controlling device (such as the DSP 121) will then proceed to automatically determine the system environment and configure the local system to work within that environment. By way of example, the DSP 121 of the disk storage controller 120 would sense that the data storage controller 120 is on a PCI computer bus (expansion bus) and has attached to it a hard disk on an IDE interface. The DSP 121 would then load the appropriate PCI and IDE interfaces into the programmable logic device 122 prior to completion of the host system reset. Once the programmable logic device 122 is configured for its environment, the boot device controller is reset and ready to accept commands over the computer/expansion bus 116.
It is to be understood that the data storage controller 120 may be utilized as a controller for transmitting data (compressed or uncompressed) to and from remote locations over the DSP I/O ports 127 or system bus 116, for example. Indeed, the I/O ports 127 of the DSP 121 may be used for transmitting data (compressed or uncompressed) that is either retrieved from the disk or received from the host system via the bus 116, to remote locations for processing and/or storage. Indeed, the I/O ports may be operatively connected to other data storage controllers or to a network communication channels. Likewise, the data storage controller 120 may receive data (compressed or uncompressed) over the I/O ports 127 of the DSP 121 from remote systems that are connected to the I/O ports 127 of the DSP, for local processing by the data storage controller 120. For instance, a remote system may remotely access the data storage controller 120 (via the I/O ports of the DSP or system bus 116) to utilize the data compression, in which case the data storage controller 120 would transmit the compressed data back to the system that requested compression.
In accordance with the present invention, the system (e.g., data storage controller 120) preferably boots-up in a mode using asymmetrical data compression. It is to be understood that the boot process would not be affected whether the system boots up defaulting to an asymmetrical mode or to a symmetrical mode. This is because during the boot process of the computer, it is reading the operating system from the disk, not writing. However, once data is written to the disk using a compression algorithm, it must retrieve and read the data using the corresponding decompression algorithm.
As the user creates, deletes and edits files, the disk controller 120 will preferably utilize an asymmetrical compression routine that provides slow compression and fast decompression. Since using the asymmetrical compression algorithm will provide slower compression than a symmetrical algorithm, the file system of the computer will track whether the disk controller 120 has disk accesses pending. If the disk controller 120 does have disk accesses pending and the system is starting to slow down, the file management system will command the disk controller 120 to use a faster symmetrical compression algorithm. If there are no disk access requests pending, the file management system will leave the disk controller in the mode of using the asymmetrical compression algorithm.
If the disk controller 120 was switched to using a symmetrical algorithm, the file management system will preferably signal the controller to switch back to a default asymmetrical algorithm when, e.g., the rate of the disk access requests slow to the point where there are no pending disk accesses.
At some point a user may decide to install software or load files onto the hard disk. Before installing the software, for example, as described above, the user could indicate to the disk controller 120 (via a software utility) to enter and remain in an asymmetric mode using an asymmetric compression algorithm with a slow compression routine and a very fast decompression routine. The disk controller would continue to use the asymmetrical algorithm until commanded otherwise, regardless of the number of pending disk accesses. Then, after completing the software installation, the user would then release the disk controller from this “asymmetrical only” mode of operation (via the software utility).
Again, when the user is not commanding the disk controller 120 to remain in a certain mode, the file management system will determine whether the disk controller should use the asymmetrical compression algorithms or the symmetrical compression algorithms based on the amount of backlogged disk activity. If the backlogged disk activity exceeds a threshold, then the file management system will preferably command the disk controller to use a faster compression algorithm, even though compression performance may suffer. Otherwise, the file management system will command the disk controller to use the asymmetrical algorithm that will yield greater compression performance.
It is to be appreciated that the data compression methods described herein by be integrated or otherwise implemented with the content independent data compression methods described in the above-incorporated. U.S. Pat. Nos. 6,195,024 and 6,309,424.
In yet another embodiment of the present invention, a virtual file management system is utilized to store, retrieve, or transmit compressed and/or accelerated data. In one embodiment of the present invention, a physical or virtual disk is utilized employing a representative file system format as illustrated in
The “compress size” refers to the maximum uncompressed size of data that is grouped together for compression (referred to as a “data chunk”). For example, if the compress size is set to 16 k and a 40 k data block is sent to the disk controller for storage, it would be divided into two 16 k chunks and one 8 k chunk. Each chunk would be compressed separately and possess its own header. As noted above, for many compression algorithms, increasing the compression size will increase the compression ratio obtained. However, even when a single byte is needed from a compressed data chunk, the entire chunk must be decompressed, which is a tradeoff with respect to using a very large compression size.
The “virtual block table address” denotes the physical address of the virtual block table. The “virtual block table size” denotes the size of the virtual block table.
The “allocation size” refers to the minimum number of contiguous sectors on the disk to reserve for each new data entry. For example, assuming that 4 sectors are allowed for each allocation and that a compressed data entry requires only 1 sector, then the remaining 3 sectors would be left unused. Then, if that piece of data were to be appended, there would be room to increase the data while remaining contiguous on the disk. Indeed, by maintaining the data contiguously, the speed at which the disk can read and write the data will increase. Although the controller preferably attempts to keep these unused sectors available for expansion of the data, if the disk were to fill up, the controller could use such sectors to store new data entries. In this way, a system can be configured to achieve greater speed, while not sacrificing disk space. Setting the allocation size to 1 sector would effectively disable this feature.
The “number Of free sectors” denotes the number of physical free sectors remaining on the disk. The ID (“Magic) number” identifies this data as a Superblock. The “checksum” comprises a number that changes based on the data in the Superblock and is used for error checking. Preferably, this number is chosen so that all of the words in the Superblock (including the checksum) added up are equal to zero.
The “virtual block table” (VET) comprises a number of “sector map” entries, one for each grouping of compressed data (or chunks). The VET may reside anywhere on the disk. The size of the VBT will depend on how much data is on the disk. Each sector map entry comprises 8 bytes. Although there is preferably only one VBT on the disk, each chunk of compressed data will have a copy of its sector map entry in its header. If the VBT were to become corrupted, scanning the disk for all sector maps could create a new one.
The term “type” refers to the sector map type. For example, a value of “00” corresponds to this sector map definition. Other values are preferably reserved for future redefinitions of the sector map.
A “C Type” denotes a compression type. A value of “000” will correspond to no compression. Other values are defined as required depending on the application. This function supports the use of multiple compression algorithms along with the use of various forms of asymmetric data compression.
The “C Info” comprises the compression information needed for the given compression type. These values are defined depending on the application. In addition, the data may be tagged based on its use—for example operating system “00”, Program “01”, or data “10”. Frequency of use or access codes may also be included. The size of this field may be greatly expanded to encode statistics supporting these items including, for example, cumulative number of times accessed, number of times accessed within a given time period or CPU clock cycles, and other related data.
The “sector count” comprises the number of physical sectors on the disk that are used for this chunk of compressed data. The “LBA” refers to the logical block address, or physical disk address, for this chunk of compressed data.
Referring back to
The “sector map” comprises a copy of the sector map entry in the VBT for this data chunk. The “VBI” is the Virtual Block Index, which is the index into the VBT that corresponds to this data chunk. The “ID (“Magic) Number” identifies this data as a data block header. The “checksum” number will change based on the data in the header and is used for error checking. This number is preferably chosen such that the addition of all the words in the header (including the checksum) will equal zero.
It should be noted that the present invention is not limited to checksums but may employ any manner of error detection and correction techniques, utilizing greatly expanded fields error detection and/or correction.
It should be further noted that additional fields may be employed to support encryption, specifically an identifier for encrypted or unencrypted data along with any parameters necessary for routing or processing the data to an appropriate decryption module or user.
The virtual size of the disk will depend on the physical size of the disk, the compress size selected, and the expected compression ratio. For example, assume there is a 75 GB disk with a selected compress size expecting a 3:1 compression ratio, the virtual disk size would be 225 GB. This will be the maximum amount of uncompressed data that the file system will be able to store on the disk.
If the number chosen is too small, then the entire disk will not be utilized. Consider the above example where a system comprises a 75 GB disk and a 225 GB virtual size. Assume that in actuality during operation the average compression ratio obtained is 5:1. Whereas this could theoretically allow 375 GB to be stored on the 75 GB disk, in practice, only 225 GB would be able to be stored on the disk before a “disk full” message is received. Indeed, with a 5:1 compression ratio, the 225 GB of data would only take up 45 GB on the disk leaving 30 GB unused. Since the operating system would think the disk is full, it would not attempt to write any more information to the disk.
On the other hand, if the number chosen is too large, then the disk will fill up when the operating system would still indicate that there was space available on the disk. Again consider the above example where a system comprises a 75 GB disk and a 225 GB virtual size. Assume further that during operation, the average compression ratio actually obtained is only 2:1. In this case, the physical disk would be full after writing 150 GB to it, but the operating system would still think there is 75 GB remaining. If the Operating system tried to write more information to the disk, an error would occur.
Thus, in another embodiment of the present invention, the virtual size of the disk is dynamically altered based upon the achieved compression ratio. In one embodiment, a running average may be utilized to reallocate the virtual disk size. Alternatively, certain portions of the ratios may already be known—such as a preinstalled operating system and programs. Thus, this ratio is utilized for that portion of the disk, and predictive techniques are utilized for the balance of the disk or disks.
Yet in another embodiment, users are prompted for setup information and the computer selects the appropriate virtual disk(s) size or selects the best method of estimation based on, e.g., a high level menu of what is the purpose of this computer: home, home office, business, server. Another submenu may ask for the expected data mix, word, excel, video, music, etc. Then, based upon expected usage and associated compression ratios (or the use of already compressed data in the event of certain forms of music and video) the results are utilized to set the virtual disk size.
It should be noted that the present invention is independent of the number or types of physical or virtual disks, and indeed may be utilized with any type of storage.
It is to be understood that the systems and methods described herein may be implemented in various forms of hardware, software, firmware, special purpose processors, or a combination thereof. In particular, the present invention may be implemented as an application comprising program instructions that are tangibly embodied on a program storage device (e.g., magnetic floppy disk, RAM, ROM, CD ROM, etc.) and executable by any device or machine comprising suitable architecture. It is to be further understood that, because some of the constituent system components and process steps depicted in the accompanying Figures are preferably implemented in software, the actual connections between such components and steps may differ depending upon the manner in which the present invention is programmed. Given the teachings herein, one of ordinary skill in the related art will be able to contemplate these and similar implementations or configurations of the present invention.
Although illustrative embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the present system and method is not limited to those precise embodiments, and that various other changes and modifications may be affected therein by one skilled in the art without departing from the scope or spirit of the invention. AU such changes and modifications are intended to be included within the scope of the invention as defined by the appended claims.
Fallon, James J., McErlain, Stephen J.
| Patent | Priority | Assignee | Title |
| Patent | Priority | Assignee | Title |
| 3394352, | |||
| 3490690, | |||
| 4021782, | Aug 15 1972 | Microsoft Corporation | Data compaction system and apparatus |
| 4032893, | Jan 23 1976 | Sperry Rand Corporation | Reconfigurable data bus |
| 4054951, | Jun 30 1976 | International Business Machines Corporation | Data expansion apparatus |
| 4127518, | Jun 16 1977 | VETERANS ADMINISTRATION, THE UNITED STATES OF AMERICA AS REPRESENTED BY | Novel derivatives of gamma-endorphins, intermediates therefor, and compositions and methods employing said derivatives |
| 4302775, | Dec 15 1978 | MAGNITUDE COMPRESSION SYSTEMS, INC | Digital video compression system and methods utilizing scene adaptive coding with rate buffer feedback |
| 4325085, | Jun 09 1980 | Hughes Electronics Corporation | Method and apparatus for adaptive facsimile compression using a two dimensional maximum likelihood predictor |
| 4360840, | May 13 1980 | ECRM Trust | Real time data compression/decompression scheme for facsimile transmission system |
| 4386416, | Jun 02 1980 | SGS-Thomson Microelectronics, Inc | Data compression, encryption, and in-line transmission system |
| 4394774, | Dec 15 1978 | MAGNITUDE COMPRESSION SYSTEMS, INC | Digital video compression system and methods utilizing scene adaptive coding with rate buffer feedback |
| 4464650, | Aug 10 1981 | BELL TELEPHONE LABORATORIES, INCORPORATED, A CORP OF NY ; AMERICAN TELEPHONE AND TELEGRAPH COMPANY, A CORP OF NY | Apparatus and method for compressing data signals and restoring the compressed data signals |
| 4494108, | Nov 09 1981 | International Business Machines Corporation | Adaptive source modeling for data file compression within bounded memory |
| 4499499, | Dec 29 1982 | International Business Machines Corporation | Method for identification and compression of facsimile symbols in text processing systems |
| 4574351, | Mar 03 1983 | International Business Machines Corporation | Apparatus for compressing and buffering data |
| 4593324, | Apr 14 1981 | Fuji Xerox Co., Ltd. | Image data storing device |
| 4626829, | Aug 19 1985 | INTELLISTOR, INC | Data compression using run length encoding and statistical encoding |
| 4646061, | Mar 13 1985 | RACAL-DATACOM, INC | Data communication with modified Huffman coding |
| 4682150, | Dec 09 1985 | TELEDATA SOUND LLC | Data compression method and apparatus |
| 4701745, | Mar 06 1985 | HI FN, INC | Data compression system |
| 4729020, | Jun 01 1987 | DELTA INFORMATION SYSTEMS, HORSHAM, PENNSYLVANIA, A CORP OF PA | System for formatting digital signals to be transmitted |
| 4730348, | Sep 19 1986 | Adaptive Computer Technologies | Adaptive data compression system |
| 4745559, | Dec 27 1985 | Reuters Limited | Method and system for dynamically controlling the content of a local receiver data base from a transmitted data base in an information retrieval communication network |
| 4748638, | Oct 30 1985 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Data telecommunications system and method for transmitting compressed data |
| 4750135, | May 01 1986 | Reuters Limited | Method for dynamically creating a receiver definable local trading instrument displayable record from a remotely transmitted trading instrument common data stream |
| 4754351, | Aug 22 1984 | CIT GROUP BUSINESS CREDIT, INC | Method and apparatus for controlling radial disk displacement in Winchester disk drives |
| 4804959, | Nov 10 1987 | International Business Machines Corporation | Method and apparatus using multiple codes to increase storage capacity |
| 4813040, | Oct 31 1986 | Method and apparatus for transmitting digital data and real-time digitalized voice information over a communications channel | |
| 4814746, | Jun 01 1983 | International Business Machines Corporation | Data compression method |
| 4862167, | Feb 24 1987 | TELOGY NETWORKS, INC | Adaptive data compression method and apparatus |
| 4866601, | Sep 24 1987 | TAIWAN SEMICONDUCTOR MANUFACTURING CO , LTD | Digital data bus architecture for computer disk drive controller |
| 4870415, | Oct 19 1987 | Hewlett-Packard Company | Data compression system with expansion protection |
| 4872009, | Dec 12 1986 | Hitachi, Ltd.; Hitachi Computer Peripherals Co. | Method and apparatus for data compression and restoration |
| 4876541, | Oct 15 1987 | STORER, JAMES A | Stem for dynamically compressing and decompressing electronic data |
| 4888812, | Dec 18 1987 | INTERNATIONAL BUSINESS MACHINES CORPORATION, A CORP OF NY | Document image processing system |
| 4890282, | Mar 08 1988 | NETWORK EQUIPMENT TECHNOLOGIES, INC , A DE CORP | Mixed mode compression for data transmission |
| 4897717, | Mar 30 1988 | StarSignal, Inc. | Computer-based video compression system |
| 4906991, | Apr 29 1988 | Xerox Corporation | Textual substitution data compression with finite length search windows |
| 4906995, | Dec 12 1986 | Sangamo Weston, Inc. | Data compression apparatus and method for data recorder |
| 4929946, | Feb 09 1989 | Storage Technology Corporation | Adaptive data compression apparatus including run length encoding for a tape drive system |
| 4953324, | Dec 07 1987 | Nova-Tech Engineering, Inc. | Personnel door for a RF shielded room |
| 4956808, | Jan 07 1985 | International Business Machines Corporation | Real time data transformation and transmission overlapping device |
| 4965675, | May 15 1987 | Canon Kabushiki Kaisha | Method and apparatus for after-recording sound on a medium having pre-recorded video thereon |
| 4988998, | Sep 05 1989 | Storage Technology Corporation | Data compression system for successively applying at least two data compression methods to an input data stream |
| 5003307, | Jan 13 1989 | HI FN, INC | Data compression apparatus with shift register search means |
| 5016009, | Jan 13 1989 | HI FN, INC | Data compression apparatus and method |
| 5027376, | Oct 30 1985 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Data telecommunications system and method for transmitting compressed data |
| 5028922, | Oct 30 1989 | Industrial Technology Research Institute | Multiplexed encoder and decoder with address mark generation/check and precompensation circuits |
| 5045848, | Apr 10 1984 | Data Broadcasting Corporation | Method of encoding market data and transmitting by radio to a plurality of receivers |
| 5045852, | Mar 30 1990 | International Business Machines Corporation | Dynamic model selection during data compression |
| 5046027, | Nov 08 1988 | Massachusetts General Hospital | Apparatus and method for processing and displaying images in a digital procesor based system |
| 5049881, | Jun 18 1990 | Intersecting Concepts, Inc. | Apparatus and method for very high data rate-compression incorporating lossless data compression and expansion utilizing a hashing technique |
| 5079630, | Oct 05 1987 | Intel Corporation | Adaptive video compression system |
| 5091782, | Apr 09 1990 | CIF LICENSING, LLC | Apparatus and method for adaptively compressing successive blocks of digital video |
| 5097261, | Nov 22 1989 | International Business Machines Corporation | Data compression for recording on a record medium |
| 5103306, | Mar 28 1990 | CAREFUSION 303, INC | Digital image compression employing a resolution gradient |
| 5109226, | Nov 22 1989 | International Business Machines Corporation | Parallel processors sequentially encoding/decoding compaction maintaining format compatibility |
| 5109433, | Oct 13 1989 | Microsoft Technology Licensing, LLC | Compressing and decompressing text files |
| 5113522, | May 17 1989 | International Business Machines Corporation | Data processing system with system resource management for itself and for an associated alien processor |
| 5115309, | Sep 10 1990 | AT&T Bell Laboratories | Method and apparatus for dynamic channel bandwidth allocation among multiple parallel video coders |
| 5121342, | Aug 28 1989 | Network Communications Corporation | Apparatus for analyzing communication networks |
| 5126739, | Jan 13 1989 | HI FN, INC | Data compression apparatus and method |
| 5128963, | Jan 31 1985 | Sony Corporation | 3-mode PCM/DPCM/APCM maximizing dynamic range |
| 5132992, | Jan 07 1991 | Greenwich Information Technologies, LLC | Audio and video transmission and receiving system |
| 5146221, | Jan 13 1989 | HI FN, INC | Data compression apparatus and method |
| 5150430, | Mar 15 1991 | The Board of Trustees of the Leland Stanford Junior University | Lossless data compression circuit and method |
| 5155484, | Sep 13 1991 | FIFTH GENERATION SYSTEMS, INC ; Symantec Corporation | Fast data compressor with direct lookup table indexing into history buffer |
| 5159336, | Aug 13 1991 | DITTO, INC | Tape controller with data compression and error correction sharing a common buffer |
| 5167034, | Jun 18 1990 | International Business Machines Corporation | Data integrity for compaction devices |
| 5175543, | Sep 25 1991 | Hewlett-Packard Company | Dictionary reset performance enhancement for data compression applications |
| 5179651, | Nov 08 1988 | Massachusetts General Hospital | Apparatus for retrieval and processing of selected archived images for display at workstation terminals |
| 5187793, | Jan 09 1989 | Intel Corporation | Processor with hierarchal memory and using meta-instructions for software control of loading, unloading and execution of machine instructions stored in the cache |
| 5191431, | Aug 29 1989 | Canon Kabushiki Kaisha | Recording apparatus having plural operating modes involving diverse signal compression rates and different apportioning of pilot signal recording area |
| 5204756, | Aug 04 1989 | IPG HEALTHCARE 501 LIMITED | Method for high-quality compression of binary text images |
| 5209220, | Oct 05 1989 | Olympus Optical Co., Ltd. | Endoscope image data compressing apparatus |
| 5212742, | May 24 1991 | Apple Inc | Method and apparatus for encoding/decoding image data |
| 5226176, | Aug 20 1990 | Microsystems, Inc. | System for selectively aborting operation or waiting to load required data based upon user response to non-availability of network load device |
| 5227893, | Oct 31 1990 | International Business Machines Corporation; INTERNATIONAL BUSINESS MACHINES CORPORATION, A CORP OF NEW YORK | Pseudo-bar code control of image transmission |
| 5231492, | Mar 16 1989 | Fujitsu Limited | Video and audio multiplex transmission system |
| 5237460, | Dec 14 1990 | DIGITAL DATA FUNDING LLC | Storage of compressed data on random access storage devices |
| 5237675, | Jun 04 1990 | MAXTOR CORP | Apparatus and method for efficient organization of compressed data on a hard disk utilizing an estimated compression factor |
| 5243341, | Jun 01 1992 | Hewlett-Packard Company | Lempel-Ziv compression scheme with enhanced adapation |
| 5243348, | Apr 27 1992 | Freescale Semiconductor, Inc | Partitioned digital encoder and method for encoding bit groups in parallel |
| 5247638, | Jun 18 1990 | Storage Technology Corporation | Apparatus for compressing data in a dynamically mapped virtual data storage subsystem |
| 5247646, | May 15 1986 | COMPUTER UPGRADE CORPORATION | Compressed data optical disk storage system |
| 5249053, | Feb 05 1991 | DYCAM INC | Filmless digital camera with selective image compression |
| 5263168, | Jun 03 1991 | Freescale Semiconductor, Inc | Circuitry for automatically entering and terminating an initialization mode in a data processing system in response to a control signal |
| 5267333, | Feb 28 1989 | Sharp Kabushiki Kaisha | Image compressing apparatus and image coding synthesizing method |
| 5270832, | Mar 14 1990 | LSI Logic Corporation | System for compression and decompression of video data using discrete cosine transform and coding techniques |
| 5280600, | Jan 19 1990 | Hewlett-Packard Company | Storage of compressed data with algorithm |
| 5287420, | Apr 08 1992 | AUTODESK, Inc | Method for image compression on a personal computer |
| 5289580, | May 10 1991 | Unisys Corporation | Programmable multiple I/O interface controller |
| 5293379, | Apr 22 1991 | Mitel Corporation | Packet-based data compression method |
| 5293576, | Nov 21 1991 | CDC PROPRIETE INTELLECTUELLE | Command authentication process |
| 5307497, | Jun 25 1990 | LENOVO SINGAPORE PTE LTD | Disk operating system loadable from read only memory using installable file system interface |
| 5309555, | May 15 1990 | International Business Machines Corporation | Realtime communication of hand drawn images in a multiprogramming window environment |
| 5319682, | Dec 08 1990 | Cray Communications Limited | Adaptive data compression system |
| 5331425, | Jan 14 1991 | PANASONIC COMMUNICATIONS CO , LTD | Image data encoding apparatus providing increased encoding efficiency with reduced dependency on image content |
| 5341440, | Jul 12 1991 | Method and apparatus for increasing information compressibility | |
| 5347600, | Jul 05 1989 | MEDIABIN, INC | Method and apparatus for compression and decompression of digital image data |
| 5353132, | Feb 06 1989 | Canon Kabushiki Kaisha | Image processing device |
| 5354315, | Jun 04 1993 | Intermedics, Inc.; INTERMEDICS, INC | Cardiac stimulator with data converter for cardiac signal |
| 5355498, | Feb 25 1992 | Sun Microsystems, Inc. | Method and apparatus for booting a computer system without loading a device driver into memory |
| 5357614, | Sep 17 1992 | TECMAR TECHNOLOGIES, INC | Data compression controller |
| 5367629, | Dec 18 1992 | SHAREVISION TECHNOLOGY, INC , A CORPORATION OF CA | Digital video compression system utilizing vector adaptive transform |
| 5373290, | Sep 25 1991 | Hewlett-Packard Company | Apparatus and method for managing multiple dictionaries in content addressable memory based data compression |
| 5374916, | Dec 18 1992 | Apple Inc | Automatic electronic data type identification process |
| 5379036, | Apr 01 1992 | Method and apparatus for data compression | |
| 5379757, | Aug 28 1990 | Olympus Optical Co. Ltd. | Method of compressing endoscope image data based on image characteristics |
| 5381145, | Feb 10 1993 | Ricoh Company, LTD | Method and apparatus for parallel decoding and encoding of data |
| 5389922, | Apr 13 1993 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Compression using small dictionaries with applications to network packets |
| 5394534, | Sep 11 1992 | MEDIATEK INC | Data compression/decompression and storage of compressed and uncompressed data on a same removable data storage medium |
| 5396228, | Jan 16 1992 | SKYTEL CORP | Methods and apparatus for compressing and decompressing paging data |
| 5400401, | Oct 30 1992 | TECH 5 SAS | System and method for transmitting a plurality of digital services |
| 5403639, | Sep 02 1992 | Storage Technology Corporation | File server having snapshot application data groups |
| 5406278, | Feb 28 1992 | INTERSECTING CONCEPTS, INC | Method and apparatus for data compression having an improved matching algorithm which utilizes a parallel hashing technique |
| 5406279, | Sep 02 1992 | Cirrus Logic, INC | General purpose, hash-based technique for single-pass lossless data compression |
| 5410671, | May 01 1990 | VIA-Cyrix, Inc | Data compression/decompression processor |
| 5412384, | Apr 16 1993 | International Business Machines Corporation | Method and system for adaptively building a static Ziv-Lempel dictionary for database compression |
| 5414850, | Aug 23 1991 | HI FN, INC | System for transparently compressing data files in a computer system |
| 5420639, | Apr 01 1993 | Cisco Technology, Inc | Rate adaptive huffman coding |
| 5434983, | Aug 30 1991 | Matsushita Graphic Communication Systems | Data processing apparatus having first bus with bus arbitration independent of CPU, second bus for CPU, and gate between first and second buses |
| 5437020, | Oct 03 1992 | Intel Corporation | Method and circuitry for detecting lost sectors of data in a solid state memory disk |
| 5452287, | Sep 20 1993 | Motorola Mobility LLC | Method of negotiation of protocols, classes, and options in computer and communication networks providing mixed packet, frame, cell, and circuit services |
| 5454079, | Sep 28 1993 | IBM Corporation | Computer workstation |
| 5454107, | Nov 30 1993 | Mosaid Technologies Incorporated | Cache memory support in an integrated memory system |
| 5455576, | Dec 23 1992 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Apparatus and methods for Lempel Ziv data compression with improved management of multiple dictionaries in content addressable memory |
| 5455578, | Jun 24 1992 | Sony United Kingdom Limited | Serial data decoding using state machine with selectable decoding tables |
| 5455680, | Jan 30 1993 | Samsung Electronics Co., Ltd. | Apparatus for compressing and decompressing image data |
| 5461679, | May 24 1991 | Apple Inc | Method and apparatus for encoding/decoding image data |
| 5463390, | Jan 13 1989 | HI FN, INC | Data compression apparatus and method |
| 5467087, | Dec 18 1992 | Apple Inc | High speed lossless data compression system |
| 5471206, | Feb 10 1993 | Ricoh Company Ltd | Method and apparatus for parallel decoding and encoding of data |
| 5475388, | Aug 17 1992 | Ricoh Company Ltd. | Method and apparatus for using finite state machines to perform channel modulation and error correction and entropy coding |
| 5479587, | Sep 03 1992 | Hewlett-Packard Company | Page printer having adaptive data compression for memory minimization |
| 5479633, | Oct 30 1992 | Intel Corporation | Method of controlling clean-up of a solid state memory disk storing floating sector data |
| 5483470, | Mar 06 1990 | Alcatel Lucent | Timing verification by successive approximation |
| 5486826, | May 19 1994 | USATALKS COM, INC | Method and apparatus for iterative compression of digital data |
| 5488364, | Feb 28 1994 | Sam H., Eulmi; EULMI, SAM H | Recursive data compression |
| 5488365, | Mar 01 1994 | Hewlett-Packard Company | Method and apparatus for compressing and decompressing short blocks of data |
| 5495244, | Dec 07 1991 | Samsung Electronics Co., Ltd. | Device for encoding and decoding transmission signals through adaptive selection of transforming methods |
| 5504842, | Nov 10 1992 | Adobe Systems, Inc. | Method and apparatus for processing data for a visual-output device with reduced buffer memory requirements |
| 5506844, | May 20 1994 | Google Technology Holdings LLC | Method for configuring a statistical multiplexer to dynamically allocate communication channel bandwidth |
| 5506872, | Apr 26 1994 | AVAYA Inc | Dynamic compression-rate selection arrangement |
| 5506944, | Nov 10 1992 | Adobe Systems, Inc. | Method and apparatus for processing data for a visual-output device with reduced buffer memory requirements |
| 5521940, | Feb 11 1992 | Ouest Standard Telematique SA | Method and device for the compression and decompression of data in a transmission system |
| 5528628, | Nov 26 1994 | SAMSUNG ELECTRONICS CO , LTD | Apparatus for variable-length coding and variable-length-decoding using a plurality of Huffman coding tables |
| 5530845, | May 13 1992 | SBC Technology Resources, INC | Storage control subsystem implemented with an application program on a computer |
| 5533051, | Mar 12 1993 | HYPERSPACE COMMUNICATIONS, INC | Method for data compression |
| 5535311, | Jul 28 1994 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Method and apparatus for image-type determination to enable choice of an optimum data compression procedure |
| 5535356, | Sep 09 1991 | Samsung Electronics Co., Ltd. | Digital data recording/playback system utilizing EEPROM and ROM memories as a storage medium |
| 5535369, | Oct 30 1992 | Intel Corporation | Method for allocating memory in a solid state memory disk |
| 5537658, | Jun 07 1995 | HGST NETHERLANDS B V | Distributed directory method and structure for direct access storage device (DASD) data compression |
| 5539865, | Nov 10 1992 | Adobe Systems, Inc | Method and apparatus for processing data for a visual-output device with reduced buffer memory requirements |
| 5542031, | Apr 30 1993 | Halftone computer imager | |
| 5544290, | Nov 10 1992 | Adobe Systems, Inc. | Method and apparatus for processing data for a visual-output device with reduced buffer memory requirements |
| 5546395, | Jul 07 1994 | MULTI-TECH SYSTEMS, INC | Dynamic selection of compression rate for a voice compression algorithm in a voice over data modem |
| 5546475, | Apr 29 1994 | International Business Machines Corporation | Produce recognition system |
| 5553160, | Sep 01 1994 | Intel Corporation | Method and apparatus for dynamically selecting an image compression process based on image size and color resolution |
| 5557551, | Oct 27 1993 | International Business Machines Corporation | Method and apparatus for a thermal protection unit |
| 5557668, | Jun 25 1992 | TELEDATA SOLUTIONS, INC | Call distribution system with distributed control of calls and data distribution |
| 5557749, | Oct 15 1992 | Micron Technology, Inc | System for automatically compressing and decompressing data for sender and receiver processes upon determination of a common compression/decompression method understood by both sender and receiver processes |
| 5561421, | Jul 28 1994 | International Business Machines Corporation | Access method data compression with system-built generic dictionaries |
| 5561824, | Oct 04 1994 | International Business Machines Corporation | Storage management of data for ensuring communication of minimal length data |
| 5563961, | Mar 03 1994 | AUTODESK, Inc | Video data compression method and system which measures compressed data storage time to optimize compression rate |
| 5574952, | May 11 1994 | Western Digital Technologies, INC | Data storage system and method for operating a disk controller including allocating disk space for compressed data |
| 5574953, | Aug 19 1994 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Storing compressed data in non-contiguous memory |
| 5576953, | Sep 07 1993 | STUTMAN, PETER S | Electronic translating device |
| 5577248, | Sep 13 1991 | FIFTH GENERATION SYSTEMS, INC ; Symantec Corporation | Method and apparatus for finding longest and closest matching string in history buffer prior to current string |
| 5581715, | Jun 22 1994 | Qualcomm Incorporated | IDE/ATA CD drive controller having a digital signal processor interface, dynamic random access memory, data error detection and correction, and a host interface |
| 5583500, | Feb 10 1993 | RICOH COMPANY, LTD A CORP OF JAPAN; RICOH CORPORATION A CORP OF DELAWARE | Method and apparatus for parallel encoding and decoding of data |
| 5586264, | Sep 08 1994 | International Business Machines Corporation | Video optimized media streamer with cache management |
| 5586285, | Feb 19 1993 | Intel Corporation | Method and circuitry for increasing reserve memory in a solid state memory disk |
| 5590306, | Sep 08 1992 | FUJIFILM Corporation | Memory card management system for writing data with usage and recording codes made significant |
| 5596674, | Jun 24 1992 | Sony Corporation; Sony United Kingdom Limited | State machine apparatus and methods for encoding data in serial form and decoding using multiple tables |
| 5598388, | Jan 19 1990 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Storing plural data records on tape in an entity with an index entry common to those records |
| 5604824, | Sep 22 1994 | FOTO-WEAR, INC | Method and apparatus for compression and decompression of documents and the like using splines and spline-wavelets |
| 5606706, | Jul 09 1992 | Hitachi, Ltd. | Data storing system and data transfer method |
| 5610657, | Sep 14 1993 | Envistech Inc. | Video compression using an iterative error data coding method |
| 5611024, | Aug 28 1992 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Data compression of bit map images |
| 5612788, | Jul 30 1993 | Sony Corporation; Sony United Kingdom Limited | Video data compression apparatus for recording and reproducing compressed video data at their various compressed data rates |
| 5613069, | Dec 16 1994 | Tony, Walker | Non-blocking packet switching network with dynamic routing codes having incoming packets diverted and temporarily stored in processor inputs when network ouput is not available |
| 5615017, | Feb 21 1992 | Samsung Electronics Co., Ltd. | Method of and control circuit for compression recording and reproducing of multiple images |
| 5615287, | Dec 02 1994 | Lawrence Livermore National Security LLC | Image compression technique |
| 5619995, | Nov 12 1991 | Motion video transformation system and method | |
| 5621820, | Mar 03 1994 | AUTODESK, Inc | Video data compression method and system which measures compressed data storage time to optimize compression rate |
| 5623623, | Sep 09 1991 | Samsung Electronics Co., Ltd. | Digital storage system adopting semiconductor memory device |
| 5623701, | Jun 06 1995 | Western Digital Technologies, INC | Data compression method and structure for a direct access storage device |
| 5627534, | Mar 23 1995 | PENDRAGON NETWORKS LLC | Dual stage compression of bit mapped image data using refined run length and LZ compression |
| 5627995, | Dec 14 1990 | DIGITAL DATA FUNDING LLC | Data compression and decompression using memory spaces of more than one size |
| 5629732, | Mar 29 1994 | The Trustees of Columbia University in the City of New York | Viewer controllable on-demand multimedia service |
| 5630092, | Oct 20 1994 | International Business Machines | System and method for transferring compressed and uncompressed data between storage systems |
| 5635632, | Apr 26 1994 | Cytec Technology Corp | Settling process analysis device and method |
| 5635932, | Oct 17 1994 | Fujitsu Limited | Lempel-ziv compression with expulsion of dictionary buffer matches |
| 5638498, | Nov 10 1992 | Adobe Systems, Inc | Method and apparatus for reducing storage requirements for display data |
| 5640158, | Sep 14 1994 | Seiko Epson Corporation | Reversible method of encoding data |
| 5642506, | Dec 14 1994 | International Business Machines Corporation | Method and apparatus for initializing a multiprocessor system |
| 5649032, | Nov 14 1994 | Sarnoff Corporation | System for automatically aligning images to form a mosaic image |
| 5652795, | Nov 14 1994 | U S BANK NATIONAL ASSOCIATION | Method and apparatus for an adapter card providing conditional access in a communication system |
| 5652857, | Mar 09 1995 | Fujitsu Limited | Disk control apparatus for recording and reproducing compression data to physical device of direct access type |
| 5652917, | Nov 13 1992 | Video Associates Labs, Inc. | System for transmitting and receiving combination of compressed digital information and embedded strobe bit between computer and external device through parallel printer port of computer |
| 5654703, | Jun 17 1996 | Hewlett Packard Enterprise Development LP | Parallel data compression and decompression |
| 5655138, | Apr 11 1995 | PDACO LTD | Apparatus and method for peripheral device control with integrated data compression |
| 5666560, | Aug 03 1995 | Western Digital Technologies, INC | Storage method and hierarchical padding structure for direct access storage device (DASD) data compression |
| 5668737, | Mar 22 1995 | Qualcomm Incorporated | High-speed data processor and coding method |
| 5671355, | Jun 26 1992 | PREDACOMM, INC | Reconfigurable network interface apparatus and method |
| 5671389, | Jan 11 1996 | Quantum Corporation | Adaptive compression caching for tape recording |
| 5671413, | Oct 31 1994 | Intel Corporation | Method and apparatus for providing basic input/output services in a computer |
| 5673370, | Jan 29 1993 | Microsoft Technology Licensing, LLC | Digital video data compression technique |
| 5675333, | Aug 31 1994 | Pendragon Wireless LLC | Digital compressed sound recorder |
| 5675789, | Oct 22 1992 | NEC Corporation | File compression processor monitoring current available capacity and threshold value |
| 5686916, | Dec 28 1995 | U S PHILIPS CORPORATION | Multi-code-book variable length decoder |
| 5692159, | May 19 1995 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Configurable digital signal interface using field programmable gate array to reformat data |
| 5694619, | Sep 20 1993 | Fujitsu Limited | System for exclusively controlling access of a semiconductor memory module using a backup memory and compression and decompression techniques |
| 5696927, | Dec 21 1995 | GLOBALFOUNDRIES Inc | Memory paging system and method including compressed page mapping hierarchy |
| 5703793, | Jul 29 1994 | TALON RESEARCH, LLC | Video decompression |
| 5708511, | Mar 24 1995 | Harris Corporation | Method for adaptively compressing residual digital image data in a DPCM compression system |
| 5715477, | Apr 11 1995 | PDACO LTD | Apparatus and method for peripheral device control with integrated data compression |
| 5717393, | Feb 08 1996 | Fujitsu Limited | Apparatus for data compression and data decompression |
| 5717394, | Feb 10 1993 | Ricoh Corporation | Method and apparatus for encoding and decoding data |
| 5719862, | May 14 1996 | DIODES INCORPORATED | Packet-based dynamic de-skewing for network switch with local or central clock |
| 5721958, | Apr 11 1995 | PDACO LTD | Apparatus and method for peripheral device control with integrated data compression |
| 5724475, | May 18 1995 | Timepres Corporation | Compressed digital video reload and playback system |
| 5729228, | Jul 06 1995 | GLOBALFOUNDRIES Inc | Parallel compression and decompression using a cooperative dictionary |
| 5740395, | Oct 30 1992 | Intel Corporation | Method and apparatus for cleaning up a solid state memory disk storing floating sector data |
| 5742773, | Apr 18 1996 | Microsoft Technology Licensing, LLC | Method and system for audio compression negotiation for multiple channels |
| 5748904, | Sep 13 1996 | XGI TECHNOLOGY, INC | Method and system for segment encoded graphic data compression |
| 5757852, | Jan 24 1997 | WESTERNGECO, L L C | Method for compression of high resolution seismic data |
| 5764774, | Sep 25 1995 | Intermec IP CORP | Source data compression and decompression in code symbol printing and decoding |
| 5765027, | Sep 26 1994 | TOSHIBA AMERICA INFORMATION SYSTEMS, INC | Network controller which enables the local processor to have greater access to at least one memory device than the host computer in response to a control signal |
| 5767898, | Jun 23 1994 | Sanyo Electric Co., Ltd. | Three-dimensional image coding by merger of left and right images |
| 5768445, | Sep 13 1996 | SAMSUNG ELECTRONICS CO , LTD | Compression and decompression scheme performed on shared workstation memory by media coprocessor |
| 5768525, | Sep 08 1995 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Transparent support of protocol and data compression features for data communication |
| 5771340, | Jan 14 1994 | Oki Electric Industry Co., Ltd. | Data compression method and print processing device utilizing the same |
| 5774715, | Mar 27 1996 | Oracle America, Inc | File system level compression using holes |
| 5778411, | May 16 1995 | NetApp, Inc | Method for virtual to physical mapping in a mapped compressed virtual storage subsystem |
| 5781767, | Dec 03 1993 | Hitachi, Ltd. | Package blocking method for a storage system having a bus common to a plurality of kinds of groups of packages |
| 5784572, | Dec 29 1995 | AVAGO TECHNOLOGIES GENERAL IP SINGAPORE PTE LTD | Method and apparatus for compressing video and voice signals according to different standards |
| 5784631, | Jun 30 1992 | COASES INVESTMENTS BROS L L C | Huffman decoder |
| 5787487, | Nov 30 1993 | Fuji Xerox Co., Ltd. | Information storage system for converting data at transfer |
| 5794229, | Apr 16 1993 | SYBASE, INC | Database system with methodology for storing a database table by vertically partitioning all columns of the table |
| 5796864, | May 12 1992 | Apple Inc | Method and apparatus for real-time lossless compression and decompression of image data |
| 5799110, | Nov 09 1995 | Utah State University Foundation | Hierarchical adaptive multistage vector quantization |
| 5805834, | Mar 30 1994 | ACACIA PATENT ACQUISITION LLC | Hot reconfigurable parallel bus bridging circuit |
| 5805932, | Apr 22 1994 | Sony Corporation | System for transmitting compressed data if compression ratio is at least preset ratio and pre-compressed data if compression ratio is less than preset ratio |
| 5807036, | Oct 04 1996 | Adjustable drill jig | |
| 5808660, | Sep 05 1995 | Rockwell Collins, Inc | Video on-demand system with a plurality of reception apparatus connected in a daisy chain connection |
| 5809176, | Oct 18 1994 | Seiko Epson Corporation | Image data encoder/decoder system which divides uncompresed image data into a plurality of streams and method thereof |
| 5809299, | Feb 17 1993 | MORGAN SIGNALS LLC | Method of and apparatus for reduction of bandwidth requirements in the provision of electronic information and transaction services through communication networks |
| 5809337, | Nov 10 1995 | Intel Corporation | Mass storage devices utilizing high speed serial communications |
| 5812195, | Sep 14 1993 | Envistech, Inc. | Video compression using an iterative correction data coding method and systems |
| 5812789, | Aug 26 1996 | PARTHENON UNIFIED MEMORY ARCHITECTURE LLC | Video and/or audio decompression and/or compression device that shares a memory interface |
| 5812883, | Nov 22 1995 | MITSUBISHI CHEMICAL AMERICA, INC | System for reading and storing formatting information after formatting a first storage medium and using the stored formatting information to format a second storage medium |
| 5818368, | Apr 18 1997 | Premier Research, LLC | Method and apparatus for lossless digital data compression |
| 5818369, | Mar 07 1996 | Pegasus Imaging Corporation | Rapid entropy coding for data compression or decompression |
| 5818530, | Jun 19 1996 | Thomson Consumer Electronics, Inc | MPEG compatible decoder including a dual stage data reduction network |
| 5819215, | Oct 13 1995 | Hewlett Packard Enterprise Development LP | Method and apparatus for wavelet based data compression having adaptive bit rate control for compression of digital audio or other sensory data |
| 5822781, | Oct 30 1992 | Intel Corporation | Sector-based storage device emulator having variable-sized sector |
| 5825424, | Jun 19 1996 | Thomson Consumer Electronics, Inc | MPEG system which decompresses and recompresses image data before storing image data in a memory and in accordance with a resolution of a display device |
| 5825830, | Aug 17 1995 | Method and apparatus for the compression of audio, video or other data | |
| 5832037, | Jun 23 1995 | HANWHA TECHWIN CO , LTD | Method of compressing and expanding data |
| 5832126, | Jul 07 1995 | Oki Data Corporation | Method and apparatus for compressing mixed text and image data |
| 5832443, | Feb 25 1997 | XVD TECHNOLOGY HOLDINGS, LTD IRELAND | Method and apparatus for adaptive audio compression and decompression |
| 5835788, | Sep 18 1996 | Electronics For Imaging | System for transferring input/output data independently through an input/output bus interface in response to programmable instructions stored in a program memory |
| 5836003, | Aug 26 1993 | AMSTR INVESTMENTS 2 K G , LLC | Methods and means for image and voice compression |
| 5838821, | Mar 14 1995 | Ricoh Company, LTD | Method and apparatus for selecting compression method and for compressing file using the selected method |
| 5838927, | Nov 22 1996 | Microsoft Technology Licensing, LLC | Method and apparatus for compressing a continuous, indistinct data stream |
| 5838996, | May 31 1994 | International Business Machines Corporation; International Business Machines Corp | System for determining presence of hardware decompression, selectively enabling hardware-based and software-based decompression, and conditioning the hardware when hardware decompression is available |
| 5839100, | Apr 22 1996 | ALTERA CORPORATOPM | Lossless and loss-limited compression of sampled data signals |
| 5841979, | May 25 1995 | IRONWORKS PATENTS LLC | Enhanced delivery of audio data |
| 5847762, | Dec 27 1995 | Thomson Consumer Electronics, Inc | MPEG system which decompresses and then recompresses MPEG video data before storing said recompressed MPEG video data into memory |
| 5850565, | Aug 26 1996 | JPMORGAN CHASE BANK, N A , AS SUCCESSOR AGENT | Data compression method and apparatus |
| 5856797, | Jan 26 1995 | Sega Enterprises Ltd. | Data encoding device, data decoding device, data encoding method and data decoding method |
| 5861824, | Jun 20 1995 | FORENSIC SCIENCE SERVICE LTD | Encoding method and system, and decoding method and system |
| 5861920, | Nov 08 1996 | Hughes Electronics Corporation | Hierarchical low latency video compression |
| 5864342, | Aug 04 1995 | Microsoft Technology Licensing, LLC | Method and system for rendering graphical objects to image chunks |
| 5864678, | May 08 1996 | Apple Inc | System for detecting and reporting data flow imbalance between computers using grab rate outflow rate arrival rate and play rate |
| 5867167, | Aug 04 1995 | Sun Microsystems, Inc. | Compression of three-dimensional graphics data including quantization, delta-encoding, and variable-length encoding |
| 5867602, | Sep 21 1994 | RICOH COMPANY, LTD , A CORPORATION OF JAPAN | Reversible wavelet transform and embedded codestream manipulation |
| 5870036, | Feb 24 1995 | International Business Machines Corporation | Adaptive multiple dictionary data compression |
| 5870087, | Nov 13 1996 | AVAGO TECHNOLOGIES GENERAL IP SINGAPORE PTE LTD | MPEG decoder system and method having a unified memory for transport decode and system controller functions |
| 5872530, | Jan 31 1996 | Hitachi, Ltd. | Method of and apparatus for compressing and decompressing data and data processing apparatus and network system using the same |
| 5874907, | Sep 19 1997 | International Business Machines Corporation | Method and apparatus for providing improved data compression efficiency for an adaptive data compressor |
| 5881104, | Mar 25 1996 | Sony Corporation; Sony Electronics INC | Voice messaging system having user-selectable data compression modes |
| 5883975, | Sep 12 1994 | Nippon Steel Corporation | Compression and decompression methods on two-dimensional image data |
| 5884269, | Apr 17 1995 | Merging Technologies | Lossless compression/decompression of digital audio data |
| 5886655, | Apr 09 1997 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Arithmetic coding context model that accelerates adaptation for small amounts of data |
| 5887165, | Jun 20 1997 | HANGER SOLUTIONS, LLC | Dynamically reconfigurable hardware system for real-time control of processes |
| 5889961, | Jun 27 1996 | Western Digital Technologies, INC | Disk drive having program to be executed by a second processor stored in a first processor's ROM in a compressed form |
| 5892847, | Jul 14 1994 | Citrix Systems, Inc | Method and apparatus for compressing images |
| 5901278, | Aug 18 1994 | Konica Corporation | Image recording apparatus with a memory means to store image data |
| 5907801, | Sep 22 1995 | Chanyu Holdings, LLC | Apparatus and method for optimizing wireless financial transactions |
| 5909557, | Nov 20 1995 | AVAGO TECHNOLOGIES GENERAL IP SINGAPORE PTE LTD | Integrated circuit with programmable bus configuration |
| 5909559, | Apr 04 1997 | Texas Instruments Incorporated | Bus bridge device including data bus of first width for a first processor, memory controller, arbiter circuit and second processor having a different second data width |
| 5915079, | Jun 17 1997 | Hewlett-Packard Company | Multi-path data processing pipeline |
| 5917438, | Jun 30 1995 | JVC Kenwood Corporation | Data storing and outputting apparatus |
| 5918068, | Dec 23 1994 | HITACHI GLOBAL STORAGE TECHNOLOGIES NETHERLANDS B V ; MARIANA HDD B V | Reconfigurable interface for small disk drives |
| 5918225, | Apr 16 1993 | SYBASE, INC | SQL-based database system with improved indexing methodology |
| 5920326, | May 30 1997 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Caching and coherency control of multiple geometry accelerators in a computer graphics system |
| 5923860, | Jun 25 1997 | Hewlett Packard Enterprise Development LP | Apparatus, method and system for remote peripheral component interconnect bus using accelerated graphics port logic circuits |
| 5930358, | Nov 22 1995 | MITSUBISHI KAGAKU MEDIA CO , LTD | Storage device having a nonvolatile memory for storing user changeable operating parameters |
| 5936616, | Aug 07 1996 | Microsoft Technology Licensing, LLC | Method and system for accessing and displaying a compressed display image in a computer system |
| 5938737, | Feb 14 1997 | RPX Corporation | Internet upstream request compression |
| 5943692, | Apr 30 1997 | International Business Machines Corp | Mobile client computer system with flash memory management utilizing a virtual address map and variable length data |
| 5945933, | Jan 27 1998 | RIVERBED TECHNOLOGY, INC | Adaptive packet compression apparatus and method |
| 5949355, | Dec 06 1994 | Cennoid Technologies, Inc. | Method and apparatus for adaptive data compression |
| 5949968, | Nov 10 1992 | Adobe Systems Incorporated | Method and apparatus for processing data for a visual-output device with reduced buffer memory requirements |
| 5951623, | Aug 06 1996 | Pinpoint Incorporated | Lempel- Ziv data compression technique utilizing a dictionary pre-filled with frequent letter combinations, words and/or phrases |
| 5955976, | Dec 02 1997 | Hughes Electronics Corporation | Data compression for use with a communications channel |
| 5956490, | Jun 30 1998 | Google Technology Holdings LLC | Method, client device, server and computer readable medium for specifying and negotiating compression of uniform resource identifiers |
| 5960465, | Feb 27 1997 | Oracle International Corporation | Apparatus and method for directly accessing compressed data utilizing a compressed memory address translation unit and compression descriptor table |
| 5964842, | Jan 31 1997 | Network Computing Devices, Inc.; NETWORK COMPUTING DEVICES, INC | Method and apparatus for scaling data compression based on system capacity |
| 5968149, | Jan 07 1998 | International Business Machines Corporation | Tandem operation of input/output data compression modules |
| 5969927, | Oct 24 1996 | Robert Bosch GmbH | Integrated overload protective device |
| 5973630, | Dec 02 1997 | Hughes Electronics Corporation | Data compression for use with a communications channel |
| 5974235, | Oct 31 1996 | SENSORMATIC ELECTRONICS, LLC | Apparatus having flexible capabilities for analysis of video information |
| 5974387, | Jun 19 1996 | Yamaha Corporation | Audio recompression from higher rates for karaoke, video games, and other applications |
| 5974471, | Jul 19 1996 | GLOBALFOUNDRIES Inc | Computer system having distributed compression and decompression logic for compressed data movement |
| 5978483, | Apr 07 1997 | Inkel Corporation | Securely encrypted remote keyless entry system |
| 5982360, | Jun 08 1997 | United Microelectronics Corp. | Adaptive-selection method for memory access priority control in MPEG processor |
| 5982723, | Sep 30 1996 | DISK AUTHORING TECHNOLOGIES, LLC | Data recording and reproducing method for multi-layered optical disk system |
| 5982937, | Dec 24 1996 | Electronics for Imaging, Inc. | Apparatus and method for hybrid compression of raster data |
| 5987022, | Dec 27 1996 | MOTOROLA SOLUTIONS, INC | Method for transmitting multiple-protocol packetized data |
| 5987432, | Jun 29 1994 | Reuters, Ltd. | Fault-tolerant central ticker plant system for distributing financial market data |
| 5987590, | Mar 24 1997 | Texas Instruments Incorporated | PC circuits, systems and methods |
| 5990884, | May 02 1997 | Sony Corporation; Sony Electronics, Inc. | Control of multimedia information with interface specification stored on multimedia component |
| 5991515, | Nov 10 1992 | Adobe Systems Incorporated | Method and apparatus for compressing and decompressing data prior to display |
| 5996033, | Sep 04 1997 | Data compression device comprising input connector for connecting to game player system, output connector for connecting to memory card, and virtual memory page switch | |
| 6000009, | May 06 1997 | Western Digital Technologies, INC | Method and apparatus for allocation of disk memory space for compressed data records |
| 6002411, | Nov 16 1994 | Intellectual Ventures I LLC | Integrated video and memory controller with data processing and graphical processing capabilities |
| 6003115, | Jul 29 1997 | POWER MANAGEMENT ENTERPRISES, LLC | Method and apparatus for predictive loading of a cache |
| 6008743, | Nov 19 1997 | UNILOC 2017 LLC | Method and apparatus for switching between data compression modes |
| 6009491, | Jun 20 1996 | Robert Bosch GmbH | Data transmission method having a data line which is separate from a data bus and is designed as a chain |
| 6011901, | May 18 1995 | Timepres Corporation | Compressed digital video record and playback system |
| 6014694, | Jun 26 1997 | Citrix Systems, Inc | System for adaptive video/audio transport over a network |
| 6021433, | Jan 26 1996 | SIMPLEAIR, INC | System and method for transmission of data |
| 6023755, | Jul 29 1992 | TAROFISS DATA LIMITED LIABILITY COMPANY | Computer with programmable arrays which are reconfigurable in response to instructions to be executed |
| 6026217, | Jun 21 1996 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Method and apparatus for eliminating the transpose buffer during a decomposed forward or inverse 2-dimensional discrete cosine transform through operand decomposition storage and retrieval |
| 6028725, | Jun 30 1997 | EMC IP HOLDING COMPANY LLC | Method and apparatus for increasing disc drive performance |
| 6031939, | Mar 17 1997 | Alcatel | Method of optimizing the compression of image data, with automatic selection of compression conditions |
| 6032148, | Sep 15 1997 | Hewlett Packard Enterprise Development LP | Multilevel storage system with hybrid data compression |
| 6032197, | Sep 25 1997 | Microsoft Technology Licensing, LLC | Data packet header compression for unidirectional transmission |
| 6038346, | Jan 29 1998 | Seiko Epson Corporation | Runs of adaptive pixel patterns (RAPP) for lossless image compression |
| 6058459, | Aug 26 1996 | PARTHENON UNIFIED MEMORY ARCHITECTURE LLC | Video/audio decompression/compression device including an arbiter and method for accessing a shared memory |
| 6061398, | Mar 11 1996 | Fujitsu Limited | Method of and apparatus for compressing and restoring data |
| 6061473, | May 17 1996 | Oki Data Corporation | Compression and expansion methods and apparatus |
| 6070179, | Feb 20 1998 | International Business Machines Corporation | Method and system for compressing unicode data within a data processing system |
| 6073232, | Feb 25 1997 | International Business Machines Corporation | Method for minimizing a computer's initial program load time after a system reset or a power-on using non-volatile storage |
| 6075470, | Feb 26 1998 | BlackBerry Limited | Block-wise adaptive statistical data compressor |
| 6078958, | Jan 31 1997 | Hughes Electronics Corporation | System for allocating available bandwidth of a concentrated media output |
| 6091777, | Sep 18 1997 | SYS TECHNOLOGIES | Continuously adaptive digital video compression system and method for a web streamer |
| 6092123, | Jul 17 1997 | International Business Machines Corporation | Method and apparatus for changing functions of a hardware device using two or more communication channels |
| 6094634, | Mar 26 1997 | Fujitsu Limited | Data compressing apparatus, data decompressing apparatus, data compressing method, data decompressing method, and program recording medium |
| 6097520, | Jun 30 1997 | Microsoft Technology Licensing, LLC | Remote control receiver and method of operation |
| 6097845, | Oct 21 1997 | Canon Kabushiki Kaisha | Image discriminator |
| 6098114, | Nov 14 1997 | Summit Data Systems LLC | Disk array system for processing and tracking the completion of I/O requests |
| 6104389, | Oct 31 1997 | JVC Kenwood Corporation | Broadcast receiving method and broadcast receiving apparatus therefor |
| 6105130, | Dec 23 1997 | PMC-SIERRA, INC | Method for selectively booting from a desired peripheral device |
| 6115384, | Jun 20 1996 | VENTURI WIRELESS, INC | Gateway architecture for data communication bandwidth-constrained and charge-by-use networks |
| 6128412, | Sep 02 1996 | Fujitsu Limited | Statistical data compression/decompression method |
| 6134631, | Aug 19 1996 | TAIWAN SEMICONDUCTOR MANUFACTURING CO , LTD | Non-volatile memory with embedded programmable controller |
| 6141053, | Jan 03 1997 | TERADATA US, INC | Method of optimizing bandwidth for transmitting compressed video data streams |
| 6145020, | May 14 1998 | Silicon Storage Technology, Inc | Microcontroller incorporating an enhanced peripheral controller for automatic updating the configuration date of multiple peripherals by using a ferroelectric memory array |
| 6145069, | Jan 29 1999 | Intellectual Ventures I LLC | Parallel decompression and compression system and method for improving storage density and access speed for non-volatile memory and embedded memory devices |
| 6169241, | Mar 03 1997 | Yamaha Corporation | Sound source with free compression and expansion of voice independently of pitch |
| 6170007, | Oct 25 1996 | Hewlett-Packard Company; HEWLETT-PACKARD DEVELOPMENT COMPANY, L P ; Agilent Technologies, Inc | Embedding web access functionality into a device for user interface functions |
| 6170047, | Nov 16 1994 | Intellectual Ventures I LLC | System and method for managing system memory and/or non-volatile memory using a memory controller with integrated compression and decompression capabilities |
| 6170049, | Apr 02 1996 | Texas Instruments Incorporated | PC circuits, systems and methods |
| 6172936, | May 28 1998 | SOCIONEXT INC | Memory circuit |
| 6173381, | Nov 16 1994 | Intellectual Ventures I LLC | Memory controller including embedded data compression and decompression engines |
| 6175650, | Jan 26 1998 | Xerox Corporation | Adaptive quantization compatible with the JPEG baseline sequential mode |
| 6175856, | Sep 30 1996 | Apple Inc | Method and apparatus for dynamic selection of compression processing during teleconference call initiation |
| 6182125, | Oct 13 1998 | Hewlett Packard Enterprise Development LP | Methods for determining sendable information content based on a determined network latency |
| 6185625, | Dec 20 1996 | Intel Corporation | Scaling proxy server sending to the client a graphical user interface for establishing object encoding preferences after receiving the client's request for the object |
| 6185659, | Mar 23 1999 | Storage Technology Corporation | Adapting resource use to improve performance in a caching memory system |
| 6192082, | Nov 13 1998 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Digital television data format conversion with automatic parity detection |
| 6192155, | Sep 16 1998 | Xerox Corporation | Systems and methods for reducing boundary artifacts in hybrid compression |
| 6195024, | Dec 11 1998 | Realtime Data LLC | Content independent data compression method and system |
| 6195125, | Aug 11 1995 | Canon Kabushiki Kaisha | Pixel shifting image sensor with a different number of images sensed in each mode |
| 6195391, | May 31 1994 | International Business Machines Corp | Hybrid video compression/decompression system |
| 6195465, | Sep 20 1994 | RICOH COMPANY, LTD , A CORP OF JAPAN | Method and apparatus for compression using reversible wavelet transforms and an embedded codestream |
| 6198842, | Jun 19 1997 | MEDIATEK INC | Multi-spectral image compression with bounded loss |
| 6198850, | Jun 12 1998 | Xerox Corporation | System and method for segmentation dependent lossy and lossless compression for higher quality |
| 6208273, | Jan 29 1999 | Intellectual Ventures I LLC | System and method for performing scalable embedded parallel data compression |
| 6215904, | Nov 30 1994 | Xerox Corporation | Apparatus and method for selecting encoding schemes based upon image content |
| 6216157, | Nov 14 1997 | R2 SOLUTIONS LLC | Method and apparatus for a client-server system with heterogeneous clients |
| 6219754, | Jun 07 1995 | Advanced Micro Devices Inc. | Processor with decompressed video bus |
| 6222886, | Jun 24 1996 | Kabushiki Kaisha Toshiba | Compression based reduced memory video decoder |
| 6225922, | Mar 16 1998 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | System and method for compressing data using adaptive field encoding |
| 6226667, | May 26 1998 | International Business Machines Corporation | Method and apparatus for preloading data in a distributed data processing system |
| 6226740, | Dec 19 1997 | HTC Corporation | Information processing apparatus and method that uses first and second power supplies for reducing booting time |
| 6230223, | Jun 01 1998 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Dual purpose apparatus method and system for accelerated graphics or second memory interface |
| 6237054, | Sep 14 1998 | GLOBALFOUNDRIES Inc | Network interface unit including a microcontroller having multiple configurable logic blocks, with a test/program bus for performing a plurality of selected functions |
| 6243829, | May 27 1998 | Hewlett Packard Enterprise Development LP | Memory controller supporting redundant synchronous memories |
| 6253264, | Mar 07 1997 | Viasat, Inc | Coding network grouping data of same data type into blocks using file data structure and selecting compression for individual block base on block data type |
| 6257693, | Jan 27 1994 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Automatic optimization of hardcopy output |
| 6272178, | Apr 18 1996 | NOKIA SOLUTIONS AND NETWORKS OY | Video data encoder and decoder |
| 6272627, | Oct 30 1998 | ATI Technologies ULC | Method and apparatus for booting up a computing system with enhanced graphics |
| 6272628, | Dec 14 1998 | Lenovo PC International | Boot code verification and recovery |
| 6282641, | Nov 18 1998 | KINGLITE HOLDINGS INC | System for reconfiguring a boot device by swapping the logical device number of a user selected boot drive to a currently configured boot drive |
| 6285458, | Jul 31 1996 | Fuji Xerox Co., Ltd. | Image processing apparatus and method |
| 6298408, | Mar 03 1998 | HANGER SOLUTIONS, LLC | Intelligent input and output controller for flexible interface |
| 6308311, | May 14 1999 | XILINX, Inc. | Method for reconfiguring a field programmable gate array from a host |
| 6309424, | Dec 11 1998 | Realtime Data LLC | Content independent data compression method and system |
| 6310563, | May 12 2000 | International Business Machines Corporation | Method and apparatus for enhanced decompressor parsing |
| 6317714, | Feb 04 1997 | MUSICQUBED INNOVATIONS, LLC | Controller and associated mechanical characters operable for continuously performing received control data while engaging in bidirectional communications over a single communications channel |
| 6317818, | Mar 30 1999 | Microsoft Technology Licensing, LLC | Pre-fetching of pages prior to a hard page fault sequence |
| 6330622, | Oct 23 1998 | Intel Corporation | Direct processor access via an external multi-purpose interface |
| 6333745, | Sep 30 1996 | Acacia Research Group LLC | Data processor having unified memory architecture providing priority memory access |
| 6336153, | Feb 26 1998 | Kabushiki Kaisha Toshiba | High-speed hybernation |
| 6345307, | Apr 30 1999 | Google Technology Holdings LLC | Method and apparatus for compressing hypertext transfer protocol (HTTP) messages |
| 6356589, | Jan 28 1999 | International Business Machines Corporation | Sharing reference data between multiple encoders parallel encoding a sequence of video frames |
| 6356937, | Jul 06 1999 | MEC MANAGEMENT, LLC | Interoperable full-featured web-based and client-side e-mail system |
| 6374353, | Mar 16 1998 | Mitsubishi Denki Kabushiki Kaisha | Information processing apparatus method of booting information processing apparatus at a high speed |
| 6388584, | Mar 16 2000 | Lucent Technologies Inc. | Method and apparatus for data compression of network packets |
| 6392567, | Mar 31 2000 | Fijitsu Limited | Apparatus for repeatedly compressing a data string and a method thereof |
| 6404931, | Dec 14 1998 | Microsoft Technology Licensing, LLC | Code book construction for variable to variable length entropy encoding |
| 6421387, | May 15 1998 | North Carolina State University | Methods and systems for forward error correction based loss recovery for interactive video transmission |
| 6434168, | Jun 07 1996 | Nokia Siemens Networks Oy | Data compression on a data connection |
| 6434695, | Dec 23 1998 | Apple Inc | Computer operating system using compressed ROM image in RAM |
| 6442659, | Feb 17 1998 | EMC IP HOLDING COMPANY LLC | Raid-type storage system and technique |
| 6449658, | Nov 18 1999 | QUIKCATAUSTRALIA PTY LTD | Method and apparatus for accelerating data through communication networks |
| 6449682, | Jun 18 1999 | PHOENIX TECHNOLOGIES LTD | System and method for inserting one or more files onto mass storage |
| 6452602, | Dec 13 1999 | ATI Technologies ULC | Method and apparatus for storing compressed data |
| 6452933, | Feb 07 1997 | Lucent Technologies Inc | Fair queuing system with adaptive bandwidth redistribution |
| 6459429, | Jun 14 1999 | Oracle America, Inc | Segmenting compressed graphics data for parallel decompression and rendering |
| 6463509, | Jan 26 1999 | Rovi Technologies Corporation | Preloading data in a cache memory according to user-specified preload criteria |
| 6487640, | Jan 19 1999 | International Business Machines Corporation | Memory access request reordering to reduce memory access latency |
| 6489902, | Dec 02 1997 | Hughes Electronics Corporation | Data compression for use with a communications channel |
| 6505239, | Nov 14 1997 | E-PARCEL CORPORATION | System for minimizing screen refresh time using selectable compression speeds |
| 6513113, | Jun 19 1998 | Ricoh Company, LTD | Electronic instrument adapted to be selectively booted either from externally-connectable storage unit or from internal nonvolatile rewritable memory |
| 6523102, | Apr 14 2000 | Intellectual Ventures I LLC | PARALLEL COMPRESSION/DECOMPRESSION SYSTEM AND METHOD FOR IMPLEMENTATION OF IN-MEMORY COMPRESSED CACHE IMPROVING STORAGE DENSITY AND ACCESS SPEED FOR INDUSTRY STANDARD MEMORY SUBSYSTEMS AND IN-LINE MEMORY MODULES |
| 6526174, | May 19 1994 | Apple Inc | Method and apparatus for video compression using block and wavelet techniques |
| 6529633, | Sep 16 1998 | Texas Instruments Incorporated | Parallel difference coding method for lossless compression and real time decompression |
| 6532121, | Oct 25 1999 | Hewlett Packard Enterprise Development LP | Compression algorithm with embedded meta-data for partial record operation augmented with expansion joints |
| 6539438, | Jan 15 1999 | Quickflex Inc. | Reconfigurable computing system and method and apparatus employing same |
| 6539456, | Oct 13 1999 | Intel Corporation | Hardware acceleration of boot-up utilizing a non-volatile disk cache |
| 6542644, | Sep 02 1996 | Fujitsu Limited | Statistical data compression/decompression method |
| 6577254, | Nov 14 2001 | HEWLETT-PACKARD DEVELOPMENT COMPANY, L P | Data compression/decompression system |
| 6590609, | Feb 21 1997 | MAXELL, LTD | Image signal recording system |
| 6597812, | May 28 1999 | Realtime Data, LLC | System and method for lossless data compression and decompression |
| 6601104, | Mar 11 1999 | Realtime Data LLC | System and methods for accelerated data storage and retrieval |
| 6604040, | Dec 14 2000 | Sumitomo Rubber Industries, Limited | Apparatus and method for identifying tires and apparatus and method for evaluating road surface conditions |
| 6604158, | Mar 11 1999 | Realtime Data, LLC | System and methods for accelerated data storage and retrieval |
| 6606040, | Feb 13 2001 | GOOGLE LLC | Method and apparatus for adaptive data compression |
| 6606413, | Jun 01 1998 | Carl Zeiss Microscopy GmbH | Compression packaged image transmission for telemicroscopy |
| 6609223, | Apr 06 1999 | KENCAST, INC | METHOD FOR PACKET-LEVEL FEC ENCODING, IN WHICH ON A SOURCE PACKET-BY-SOURCE PACKET BASIS, THE ERROR CORRECTION CONTRIBUTIONS OF A SOURCE PACKET TO A PLURALITY OF WILDCARD PACKETS ARE COMPUTED, AND THE SOURCE PACKET IS TRANSMITTED THEREAFTER |
| 6618728, | Jan 31 1996 | Hewlett Packard Enterprise Development LP | Multi-process compression |
| 6624761, | Dec 11 1998 | Realtime Data, LLC | Content independent data compression method and system |
| 6633244, | Jan 03 2000 | Efeckta Technologies Corporation | Efficient and lossless conversion for transmission or storage of data |
| 6633968, | Mar 30 1999 | Microsoft Technology Licensing, LLC | Pre-fetching of pages prior to a hard page fault sequence |
| 6650261, | Sep 06 2001 | Xerox Corporation | Sliding window compression method utilizing defined match locations |
| 6661839, | Mar 24 1998 | Advantest Corporation | Method and device for compressing and expanding data pattern |
| 6661845, | Jan 14 1999 | Vianix Delaware, LLC | Data compression system and method |
| 6704840, | |||
| 6708220, | Nov 19 1998 | X NET ASSOCIATES, INC | System and method for in-stream data compression |
| 6711709, | Jun 24 1998 | Unisys Corporation | Integrated block checking system for rapid file transfer of compressed data |
| 6717534, | Jan 18 2002 | Fuji Xerox Co., Ltd. | Data encoding device and data decoding device |
| 6723225, | Jul 31 2001 | The United States of America as represented by the Secretary of the Navy; GOVERNMENT OF THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY OF THE NAVY, THE | Automobile engine disabling device |
| 6731814, | May 01 2000 | Xerox Corporation | Method for compressing digital documents with control of image quality and compression rate |
| 6745282, | Jan 13 1995 | Fujitsu Limited | Compressed data managing apparatus and method therefor to manage compressed data of a disk storage |
| 6748457, | Feb 03 2000 | Realtime Data, LLC | Data storewidth accelerator |
| 6756922, | May 21 2001 | International Business Machines Corporation | Method and system for compression of a set of mostly similar strings allowing fast retrieval |
| 6768749, | Oct 14 1999 | Cisco Technology, Inc. | Dual-channel communications protocol providing enhanced capabilities for modems |
| 6792151, | Nov 24 1999 | General Electric Company | Image data compression employing optimal subregion compression |
| 6810434, | Dec 29 1997 | KAWASAKI MICROELECTRONICS, INC | Multimedia interface having a processor and reconfigurable logic |
| 6813689, | Mar 29 2002 | EMC IP HOLDING COMPANY LLC | Communications architecture for a high throughput storage processor employing extensive I/O parallelization |
| 6819271, | Jan 29 1999 | Intellectual Ventures I LLC | Parallel compression and decompression system and method having multiple parallel compression and decompression engines |
| 6822589, | Jan 29 1999 | Intellectual Ventures I LLC | System and method for performing scalable embedded parallel data decompression |
| 6856651, | Jul 25 2000 | RIVERBED TECHNOLOGY LLC | System and method for incremental and continuous data compression |
| 6862278, | Jun 18 1998 | Microsoft Technology Licensing, LLC | System and method using a packetized encoded bitstream for parallel compression and decompression |
| 6879266, | Aug 08 1997 | Intellectual Ventures I LLC | Memory module including scalable embedded parallel data compression and decompression engines |
| 6885316, | Feb 05 2001 | System and method for keyboard independent touch typing | |
| 6885319, | Jan 29 1999 | Intellectual Ventures I LLC | System and method for generating optimally compressed data from a plurality of data compression/decompression engines implementing different data compression algorithms |
| 6888893, | Jan 05 2001 | ZHIGU HOLDINGS LIMITED | System and process for broadcast and communication with very low bit-rate bi-level or sketch video |
| 6909383, | Oct 05 2002 | Qualcomm Incorporated | Systematic encoding and decoding of chain reaction codes |
| 6909745, | Jun 05 2001 | AT&T Corp. | Content adaptive video encoder |
| 6938073, | Nov 14 1997 | R2 SOLUTIONS LLC | Method and apparatus for re-formatting web pages |
| 6944740, | Mar 27 2002 | International Business Machines Corporation | Method for performing compressed I/O with memory expansion technology |
| 6952409, | May 17 1999 | Accelerator system and method | |
| 6959110, | Aug 17 2000 | Nvidia Corporation | Multi-mode texture compression algorithm |
| 6959359, | Jul 14 1999 | Hitachi, Ltd.; Hitachi Computer Peripherals Co., Ltd. | Software prefetch system and method for concurrently overriding data prefetched into multiple levels of cache |
| 6963608, | Oct 02 1998 | ARRIS ENTERPRISES LLC | Method and apparatus for providing rate control in a video encoder |
| 6990247, | Sep 20 1994 | Ricoh Corporation | Multiple coder technique |
| 6993597, | Oct 09 1995 | Acacia Research Group LLC; SOTA SEMICONDUCTOR LLC | Terminal apparatus |
| 7007099, | May 03 1999 | Lucent Technologies Inc. | High speed multi-port serial-to-PCI bus interface |
| 7024460, | Jul 31 2001 | OPTIMORPHIX, INC | Service-based compression of content within a network communication system |
| 7050639, | Nov 24 1999 | General Electric Company | Image data compression employing multiple compression code tables |
| 7054493, | Sep 21 1994 | Ricoh Co., Ltd. | Context generation |
| 7069342, | Mar 01 2001 | Cisco Technology, Inc. | Communication system with content-based data compression |
| 7089391, | Aug 23 2001 | Intellectual Ventures I LLC | Managing a codec engine for memory compression/decompression operations using a data movement engine |
| 7102544, | May 31 2005 | TAHOE RESEARCH, LTD | Method and system for improving memory interface data integrity in PLDs |
| 7127518, | Apr 17 2000 | SONS OF INNOVATION LLC | System and method for implementing application functionality within a network infrastructure |
| 7129860, | Jan 29 1999 | Intellectual Ventures I LLC | System and method for performing scalable embedded parallel data decompression |
| 7130913, | Mar 11 1999 | Realtime Data LLC | System and methods for accelerated data storage and retrieval |
| 7161506, | Dec 11 1998 | Realtime Data LLC | Systems and methods for data compression such as content dependent data compression |
| 7181608, | Feb 03 2000 | Realtime Data, LLC | Systems and methods for accelerated loading of operating systems and application programs |
| 7190284, | Nov 16 1994 | Intellectual Ventures I LLC | Selective lossless, lossy, or no compression of data based on address range, data type, and/or requesting agent |
| 7245636, | Oct 21 1999 | KAROLS DEVELOPMENT CO LLC; KAROLS DEVELOPMENTCO LLC | Method for operating a mobile radiotelephone network |
| 7319667, | Nov 15 2000 | Cisco Technology, Inc. | Communication system with priority data compression |
| 7321937, | Mar 11 1999 | Realtime Data LLC | System and methods for accelerated data storage and retrieval |
| 7327287, | Dec 09 2004 | Massachusetts Institute of Technology | Lossy data compression exploiting distortion side information |
| 7330912, | Oct 15 1999 | XILINX, Inc. | Configuration in a configurable system on a chip |
| 7352300, | Dec 11 1998 | Realtime Data LLC | Data compression systems and methods |
| 7358867, | Dec 11 1998 | Realtime Data LLC | Content independent data compression method and system |
| 7376772, | Feb 03 2000 | Realtime Data LLC | Data storewidth accelerator |
| 7378992, | Dec 11 1998 | Realtime Data LLC | Content independent data compression method and system |
| 7386046, | Feb 13 2001 | Realtime Adaptive Streaming LLC | Bandwidth sensitive data compression and decompression |
| 7395345, | Mar 11 1999 | Realtime Data LLC | System and methods for accelerated data storage and retrieval |
| 7400274, | Oct 03 2000 | Realtime Data LLC | System and method for data feed acceleration and encryption |
| 7415530, | Mar 11 1999 | Realtime Data LLC | System and methods for accelerated data storage and retrieval |
| 7417568, | Oct 03 2001 | Realtime Data, LLC | System and method for data feed acceleration and encryption |
| 7548657, | Jun 25 2005 | General Electric Company | Adaptive video compression of graphical user interfaces using application metadata |
| 7552069, | Dec 23 1999 | DS-IQ, INC | Techniques for optimizing promotion delivery |
| 7565441, | Jul 23 2001 | Image transfer and archival system | |
| 7711938, | Jun 24 1993 | COASES INVESTMENTS BROS L L C | Multistandard video decoder and decompression system for processing encoded bit streams including start code detection and methods relating thereto |
| 7714747, | Dec 11 1998 | Realtime Data LLC | Data compression systems and methods |
| 7777651, | Oct 03 2000 | Realtime Data LLC | System and method for data feed acceleration and encryption |
| 8004431, | Dec 09 2008 | Qualcomm Incorporated | Fast parsing of variable-to-fixed-length codes |
| 8054879, | Feb 13 2001 | Realtime Adaptive Streaming LLC | Bandwidth sensitive data compression and decompression |
| 8073047, | Feb 13 2001 | Realtime Adaptive Streaming LLC | Bandwidth sensitive data compression and decompression |
| 8090936, | Feb 03 2000 | Realtime Data, LLC | Systems and methods for accelerated loading of operating systems and application programs |
| 8112619, | Feb 03 2000 | Realtime Data LLC | Systems and methods for accelerated loading of operating systems and application programs |
| 8275897, | Mar 11 1999 | Realtime Data, LLC | System and methods for accelerated data storage and retrieval |
| 8502707, | Dec 11 1998 | Realtime Data, LLC | Data compression systems and methods |
| 8504710, | Mar 11 1999 | Realtime Data LLC | System and methods for accelerated data storage and retrieval |
| 8553759, | Feb 13 2001 | Realtime Adaptive Streaming LLC | Bandwidth sensitive data compression and decompression |
| 20010019630, | |||
| 20010031092, | |||
| 20010032128, | |||
| 20010047473, | |||
| 20010052038, | |||
| 20010054131, | |||
| 20020037035, | |||
| 20020069354, | |||
| 20020078241, | |||
| 20020080871, | |||
| 20020097172, | |||
| 20020101367, | |||
| 20020104891, | |||
| 20020126755, | |||
| 20020169950, | |||
| 20020191692, | |||
| 20030030575, | |||
| 20030034905, | |||
| 20030058873, | |||
| 20030084238, | |||
| 20030090397, | |||
| 20030142874, | |||
| 20030191876, | |||
| 20040042506, | |||
| 20040056783, | |||
| 20040073710, | |||
| 20040073746, | |||
| 20060015650, | |||
| 20060181441, | |||
| 20060181442, | |||
| 20060184687, | |||
| 20060184696, | |||
| 20060190644, | |||
| 20060195601, | |||
| 20070043939, | |||
| 20070050514, | |||
| 20070050515, | |||
| 20070067483, | |||
| 20070083746, | |||
| 20070096954, | |||
| 20070109154, | |||
| 20070109155, | |||
| 20070109156, | |||
| 20070174209, | |||
| 20080232457, | |||
| 20090125698, | |||
| 20090154545, | |||
| 20090287839, | |||
| 20100011012, | |||
| 20100316114, | |||
| 20100318684, | |||
| 20100332700, | |||
| 20110037626, | |||
| 20110199243, | |||
| 20110208833, | |||
| 20110231642, | |||
| 20110235697, | |||
| 20110285559, | |||
| 20120194362, | |||
| 20120239921, | |||
| DE4127518, | |||
| EP164677, | |||
| EP185098, | |||
| EP283798, | |||
| EP405572, | |||
| EP493130, | |||
| EP587437, | |||
| EP595406, | |||
| EP718751, | |||
| EP928070, | |||
| GB2162025, | |||
| JP11149376, | |||
| JP4241681, | |||
| JP6051989, | |||
| JP9188009, | |||
| RE40092, | May 11 1998 | Operating Systems Solutions, LLC | Method for quickly booting a computer system |
| WO36754, | |||
| WO157642, | |||
| WO157659, | |||
| WO163772, | |||
| WO239591, | |||
| WO9414273, | |||
| WO9429852, | |||
| WO9502873, | |||
| WO9529437, | |||
| WO9748212, | |||
| WO9839699, | |||
| WO9908186, |
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