1. Field of the Invention
The present invention is generally related to computer networks. More particularly, the present invention is related to systems and methods for compressing packet data.
2. Related Art
Presently, data compression is useful in many applications. One example is in storing data. As data is compressed to a greater extent, more and more information can be stored on a given storage device. Another example is in transferring data across a communication network. As bandwidth in communication networks is generally viewed as a limited resource, minimizing a size of units of data being sent across the communication network may increase performance of the communication network.
One class of data compression is known as lossless data compression. Lossless data compression allows exact copies of original data to be reconstructed from compressed data. Lossless data compression is used, for example, in the popular ZIP file format and in the Unix tool gzip. Additionally, some image file formats, such as PNG or GIF, use lossless data compression.
A popular technique for lossless data compression is known as LZ77. The basis for LZ77 was developed in 1977 by Abraham Lempel and Jacob Ziv. LZ77 is a substitutional compression algorithm, which operates by effectively identifying repeated patterns in an original version of a data file (or other unit of data) to be compressed, removing the repeated patterns, and inserting pointers to previous occurrences of the repeated patterns in the data file. The pointers may each include a pair of numbers called a ‘length-distance pair,’ which may sometimes be referred to as a ‘length-offset pair.’ The length may specify a length of a repeated pattern being removed, whereas the distance or offset may be indicative of a separation between the first occurrence of the repeated pattern and a subsequent occurrence of the repeated pattern being removed. The length and distance may be provided in various manners such as in bytes or characters. The resulting compressed data file may be significantly smaller than the original version of the data file. However, the compressed data file can be decompressed such that the resulting data file is an exact copy of the original version of the data file.
A degree of compression may be expressed as a ratio of a size in bytes of the original version of the data file to a size in bytes of the compressed data file. A factor that affects the degree of compression attainable in substitutional compression methods, such as LZ77, is repetitiveness of the data to be compressed. In other words, more repetitive data can be compressed to a greater degree relative to less repetitive data because there are more occurrences of repeated patterns. Statistically speaking, larger data files are more repetitive than smaller data files. Thus, larger data files can generally be compressed to a greater degree relative to smaller data files using existing methods.
Commonly, data that is transferred across communication networks is divided into packets, also known as datagrams. A packet may be described as a unit of information transmitted as a whole from one device to another via a communication network. In packet switching networks, for example, a packet may be described as a transmission unit of fixed maximum size that consists of binary digits representing both data and a header. The header may contain an identification number, source and destination addresses, and error-control data. To illustrate, a file may be sent by a sending device on one side of a communication network to a receiving device on another side of the communication network. Prior or concurrent to sending, the file may be divided into packets. Subsequently, the packets may be received and reassembled by the receiving device to obtain the file.
Lossless data compression methods exist for compressing data from individual packets, such as IP payload compression protocol (IPComp) defined in RFC 3173. Since packets may be dropped or received out of order, these methods are not interdependent on other packets being sent. IPComp, for instance, compresses a given packet based on repetitive data included in that given packet. In other words, pointers of a compressed version of the given packet only point within the given packet. Because packets typically include a relatively small amount of data, the degree to which the packets can be compressed using IPComp and other existing methods may be limited as explained above.
Embodiments of the present invention overcome or substantially alleviate prior problems associated with compressing packet data. In exemplary embodiments, one or more blocks are identified that include data (i.e., block data) similar to data within a packet (i.e., packet data). The packet may have been intercepted, such as by a network memory device, after the packet was sent from a first computer and directed to a second computer over a communication network. In some embodiments, the block data may comprise archives of previously transferred packet data. Additionally, the one or more blocks may be stored in network memory and the packet data may comprise data from a plurality of packets according to various embodiments.
The packet data may be compressed based, at least partially, on the block data. In some embodiments, the packet data may be appended, either physically or virtually, to the block data. Furthermore, LZ encoding may be invoked in exemplary embodiments.
Accordingly, the compressed packet data may be transferred over a communication network to the second computer. Prior to reaching the second computer, the compressed packet data may be intercepted, such as by a second network memory device. The one or more blocks on which compression was based may then be retrieved by the second network memory device based on the compressed packet data. The compressed packet data may then be decompressed based on the one or more blocks. Finally, the decompressed packet data may be transferred to the second computer.
Embodiments of the present invention provide systems and methods for compressing packet data included in packets sent across a communication network. According to some embodiments, a contiguous transmission control protocol (TCP) stream comprises the packets. Additionally, the present invention may allow the parallel processing of packet data from multiple packets across many CPUs without interdependence between the CPSs. In exemplary embodiments, the packet data is compressed based on information that has been previously transferred across the communication network. The previously transferred information may be locally accessible and verified for consistency at both a source site and a destination site. Since the packet data is compressed based on this information, rather than only on data included in each packet, the degree of compression that can be achieved is greatly increased. Additionally, this information may be stored as blocks in a network memory to further enhance performance. Embodiments of the present invention may be practiced on any device that is configured to transfer packets via a communication network and configured to store or access data that has been previously transferred. While some embodiments of the present invention will be described in reference to operation on a network memory appliance, the present invention may be practiced on any device.
The sites 102A and 102B may comprise physical locations, such as offices, office complexes, stores, homes, and other locally networked sites. The sites 102A and 102B may transfer data therebetween via the wide area network 104. The data may include data base entries, emails, documents, and any other digitized items. In some embodiments, an application may run at one site and be accessed from another site. In such cases, application data may be transferred between the sites 102A and 102B. As discussed further herein, the data transferred between the sites 102A and 102B may be included in packets.
The wide area network 104 may comprise a private network (e.g., a leased line network) or a public network (e.g., the Internet). The wide area network 104 may include hardware and/or software elements that enable the exchange of information (e.g., voice and data) between the site 102A and the site 102B. Routers or switches may be used to connect the wide area network 104 with the sites 102A and 102B, and local area networks thereof (e.g., the local area networks 110A and 110B).
The computers 106A and 106B may comprise a server, a client, a workstation, other computing devices, or the like. In some embodiments, the computers 106A and 106B may comprise other computing devices such as a personal digital assistant (PDA), a Smartphone, a pocket PC, and other various handheld or mobile devices. In some embodiments, one or both of the computers 106A and 106B may be substituted by a plurality of computers (not shown). In one embodiment, the plurality of computers may be located at one physical locale and be in communication with one or more network memory devices (e.g., the network memory devices 108A and 108B) at the same physical locale. In accordance with some embodiments, one or more computers (e.g., the computers 106A and 106B) may be integrated with one or more network memory devices (e.g., the network memory devices 108A and 108B) as single systems.
According to exemplary embodiments, the network memory devices 108A and 108B, as well as any other network memory devices included in the environment 100, provide a ‘network memory’ to reduce the amount of information traversing the wide area network 104. In one example, the network memory reduces the amount of information traversing the wide area network 104 by one or more orders of magnitude enabling LAN-like performance of the wide area network 104. This may be achieved by eliminating a need to send data over the wide area network 104 that has been previously sent. Additional information related to various exemplary embodiments of the network memory devices 108A and 108B may be found in U.S. patent application Ser. No. 11/240,110, entitled “Network Memory Appliance for Providing Data Based on Local Accessibility,” which has been incorporated herein by reference.
To illustrate network memory in accordance with various embodiments, an example involving the environment 100 is considered. As packets flow through the local area network 110A, the network memory device 108A intercepts the packets and stores a copy of data included in the packets (i.e., packet data) as a local instance within the site 102A. Similarly, the network memory device 108B intercepts packets flowing through the local area network 110E and stores a copy of data included in those packets (i.e., packet data) as a local instance within the site 102B. Therefore, if a particular packet, or data therefrom, is transferred from the computer 106A to the computer 106B, or vice versa, a copy of data included in that particular packet is stored by the network memory devices 108A and 108B within the sites 102A and 102B, respectively.
Continuing with the above example, the site 102A may act as a source site, while the site 102B may act as a destination site. It will be appreciated, however, that both sites 102A and 102B can act simultaneously as source and destination sites. A given packet may be sent from the computer 106A and be directed to the computer 106B. The given packet may be intercepted by the network memory device 108A, which will determine whether data within the given packet matches data stored as a local instance within the site 102B. If the data within the given packet does match data stored as a local instance at the site 102B, there may be no need to resend the given packet over the wide area network 104. Instead, the network memory device 108A may generate instructions to obtain the data within the given packet locally and send the instructions to the network memory device 108B. The data within the given packet may then be delivered to the computer 106B without the data within the given packet actually traversing the wide area network 104.
The network memory devices 108A and 108B may comprise one or more of a communications interface, a processor, a memory, or storage. Exemplary embodiments of the network memory devices 108A and 108B are discussed in connection with
Furthermore, the network memory device 108A or 108B may be installed in-path (as depicted in
The term ‘out-of-path,’ on the other hand, describes installation configurations in which a device (e.g., the network memory devices 108A) taps into the local area network, but is not physically attached between two communication lines. In one embodiment where the network memory device 108A is installed out-of-path, the network memory device 108A is coupled to a router (not shown). A number of router protocols, such as web cache communication protocol (WCCP) and various protocols related to policy based routing (PBR), may allow the router to transparently route network traffic to the network memory device 108A.
The local area networks 110A and 110E may cover a relatively small geographic range, such the sites 102A and 102B, and comprise one or more of a wired network (e.g., Ethernet) or a wireless network (e.g., Wi-Fi). The local area networks 110A and 110E may include hardware and/or software elements that enable the exchange of information (e.g., voice and data) between various computers 106A and 106B, devices (e.g., the network memory devices 108A and 108B), and other networking components, such as routers and switches (not shown).
The interface module 202 may be configured to facilitate communication between the network memory module 204, the compression/decompression engine 206, and the local area network (e.g., the local area network 110A or 110B). For example, information such as packets and packet data may be transferred to and from the network memory device 108 by the interface module 202. The interface module 202 may also intercept information such as packets traversing a communication network, as described herein. In exemplary embodiments, the interface module 202 may be further configured to communicate with a global management system (not shown). The global management system may configure, monitor, and manage the network memory device 108 in real-time.
The network memory module 204 may perform various tasks related to the network memory. For example, the network memory module 204 may be configured to store and retrieve copies of the packets, or data therefrom, intercepted by the interface module 202. Furthermore, information stored by the network memory module 204, such as the copies of the packets, or data therefrom, may be synchronized with that of other network memory devices in communication via the wide area network 104. Synchronization of the information may occur continuously, periodically, or after certain prompts, such as the interface module 202 intercepting a packet of which a copy has not previously been stored by the network memory module 204. Exemplary methods for synchronizing the information stored by various network memory devices are described in U.S. patent application Ser. No. 11/998,726, entitled “Deferred Data Storage,” which has been incorporated by reference.
In exemplary embodiments, the copies of the packets may be stored in blocks by the network memory module 204. Generally speaking, a block may be collection of consecutive bytes of data that are read from or written to a memory device (such as a disk) as a group. In some cases, the block may be further described as a unit of information comprising one or more of identification codes, data, or error-checking codes. In one embodiment, each of the blocks comprises 256 kB. Additionally, the blocks may be referred to as ‘pages.’
The network memory module 204 may also be configured to determine ‘locally accessible data’ of other network memory devices. The locally accessible data of a given network memory device 108 may be described as data that is transferable to a computer by the given network memory device 108 without being transferred over the wide area network 104. Additionally, the locally accessible data may be stored internal to or external to the network memory devices 108. The network memory device 108 may maintain data structures which track which data is locally accessible at each site 102. In exemplary embodiments, the network memory device 108 may keep track of which blocks (e.g., 256 kB blocks or pages) are locally accessible at which sites 102.
The network memory module 204 may also be configured to generate instructions for other network memory devices to locally obtain data. For example, referring to
The compression/decompression engine 206 may be configured to compress packet data from packets that are being sent from within the site that includes the network memory device 108 to a remote site across the wide area network 104. The compression/decompression engine 206 may be further configured to decompress the packet data from the packets that is received from the remote site. The compression and decompression of the packet may be based, at least partially, on block data from one or more blocks, as described further herein.
The storage module 208 may be configured to store various types of information. For example, the storage module 208 may store copies of the packets, or data therefrom, intercepted by the interface module 202 as local instances. The locally accessible data, in turn, may comprise the local instances and be stored by the storage module 208. The locally accessible data may be stored as blocks in exemplary embodiments. Additionally, the storage module 208 may be synchronized with storage modules of other network memory devices, as discussed herein.
In one example, again referring to
Now referring to
In step 302, a packet is intercepted after being sent from a computer. The packet may be intercepted while flowing through a local area network. For example, the interface module 202 of the network memory device 108A may intercept a packet sent from the computer 106A that is directed to the computer 106B. In exemplary embodiments, packets are intercepted transparently. Since the packets are intercepted transparently, the computers sending and receiving the packets (e.g., the computers 106A and 106B) will be unaware of the presence of the network memory device 108A and the interception of the packet. Put in other words, the computers 106A and 106B may send packets therebetween in exactly the same manner whether or not network memory devices (e.g., the network memory devices 108A and 108B) are present in the sites 102A and 102B. As such, no additional configuring is required of the computers 106A and 106B, or other hardware or software included in the sites 102A and 102B, in accordance with exemplary embodiments.
In step 304, one or more blocks are identified that include block data similar to packet data included in the packet being sent. In exemplary embodiments, the block data comprises archives of previously transferred packet data. For example, the block data may comprise packet data previously intercepted by the network memory device 108 as described in step 302. Additionally, the one or more blocks may be a part of the network memory. As described above, the network memory module 204 may store or locally access the one or more blocks in network memory. The compression/decompression engine 206 in conjunction with the network memory module 204 may identify the data in network memory similar to the packet data included in the packet. Furthermore, the one or more blocks may be identified based on data structures, such as hash tables, associated with the one or more blocks, as discussed further herein.
The block data that is similar to the packet data in the packet being sent may be included in the one or more blocks in various manners. According to various embodiments, the block data similar to the packet data may be arranged sequentially in the same order as the packet in the one or more blocks. In some embodiments, the block data similar to the packet data may be fragmented within the one or more blocks. Additionally, the block data similar to the packet data may represent a previous version of the packet data. The block data similar to the packet data may include all of the data included in the packet or a portion of the data included in the packet. In one embodiment, two consecutive blocks may include the block data similar to the packet data such that the packet data straddles the boundary of the two consecutive blocks (i.e., one part of the packet data is in the first of the two consecutive blocks and another part is in the second of the two consecutive blocks).
Additionally, the one or more blocks may be divided into sub-blocks in accordance with some embodiments. In one embodiment, the one or more blocks may each comprise 256 kB and be divided into 32 kB sub-blocks. In embodiments where two consecutive blocks include the block data similar to the packet data of the packet being sent such that the data straddles the boundary of the two consecutive blocks, the two consecutive blocks may be divided by excluding portions of the two consecutive blocks relatively far from the boundary that do not include any of the block data similar to the packet data.
In accordance with some embodiments, certain blocks may be chronicled or cataloged in various manners. These certain blocks may be blocks that are frequently or recently identified, as in step 304. Copies of these certain blocks may be recorded in a dictionary or stored in a cache in various embodiments. The dictionary may provide an indication of a correspondence between specific packet data and the one or more blocks that include data similar thereto. The cache, in contrast, may store the one or more blocks for a limited amount of time. The limited amount of time may be predetermined or be a function of data flow (e.g., a first in, first out (FIFO) approach). Additionally, the network memory devices 108 may both locally store the dictionary or cache in the storage module 208. Accordingly, the dictionary or cache may be synchronized by the network memory devices 108. The synchronization of the dictionary or cache may be performed in a similar manner as the synchronization of the locally accessible data of the network memory devices 108, as described herein.
In step 306, the packet data is compressed based, at least partially, on the block data from the one or more blocks identified in step 304. In exemplary embodiments, the packet data may be compressed based partially on the block data and partially on the packet data itself. In other embodiments, the packet data may be compressed based on the sub-blocks described in connection with step 304. A lossless compression scheme or algorithm may be invoked such that the packet data originally included in the packet can be reconstructed. Generally speaking, lossless compression algorithms may exploit statistical redundancy in such a way as to represent the packet data more concisely without error. The block data similar to the packet data of the packet being sent identified in step 304 may provide statistical redundancy for the lossless compression scheme. According to one embodiment, LZ encoding (e.g., LZ77) may be used to compress the packet data based on the block data. A compressed packet may comprise the compressed version of the packet data originally included in the packet as well as information to identify the one or more blocks, or the block data therefrom, on which the compression of the packet data was, at least partially, based. Exemplary approaches for compressing the packet data are described further in connection with
In step 308, the compressed packet is transferred via a communication network. In exemplary embodiments, the interface module 202 may transfer the compressed packet via the communication network. The communication network may comprise one or more of a local area network (e.g., local area networks 110A and 110B) and a wide area network (e.g., the wide area network 104). In one example, packet data from a packet that was originally sent by the computer 106A and directed to the computer 106B, which in turn was subsequently intercepted, compressed by the network memory device 108A, and included in a compressed packet, may be transferred to the site 102B via the wide area network 104. Accordingly, the compressed packet may be received by the site 102B, as discussed in connection with
In step 402, a compressed packet comprising compressed packet data is received. According to exemplary embodiments, the compressed packet may be received by the network memory device 108 via a communication network. For example, if the computer 106A sent a packet directed to the computer 106B that was intercepted, compressed, and transferred by the network memory device 108A (see
In step 404, one or more blocks are retrieved based on the compressed packet. As mentioned previously, the compressed packet may comprise the compressed version of the packet data originally included in the packet as well as information to identify the one or more blocks on which the compression of the packet data was, at least partially, based. The one or more blocks may be retrieved based on information included in the compressed packet that identifies the one or more blocks. In exemplary embodiments, the one or more blocks retrieved in step 404 will be identical to the one or more blocks on which the compression of the packet was based in step 306. The sameness of these blocks may be insured by a background synchronization process between network memory devices 108 in accordance with exemplary embodiments. Additionally, if sub-blocks were used to compress the packet, then identical sub-blocks may be similarly retrieved. According to some embodiments, one or more of data structures (e.g., hash tables), dictionaries, or caches as described in connection with step 304 may be used in retrieving the one or more blocks.
In step 406, the compressed packet data is decompressed based on the one or more blocks. Packet data identical to the packet data as originally intercepted may be generated from the decompressed packet data. In exemplary embodiments, a reciprocal method to that applied for compression of the packet data may be used to decompress the compressed packet data. For example, if the packet data was compressed as described in step 306 of
In step 408, the decompressed packet data is transferred via the communication network. As mentioned, the communication network may comprise one or more of a local area network (e.g., local area networks 110A and 110B) and a wide area network (e.g., the wide area network 104). For example, if the compressed packet data was decompressed by the compression/decompression engine 206 of the network memory device 108B, then the decompressed packet data may be transferred to the computer 106B via the local area network 110B. Resultantly, the decompressed packet data received by the computer 106B will be indistinguishable from the packet data of the packet originally sent from the computer 106A due to the transparent operation of the network memory devices 108A and 108B in exemplary embodiments. Furthermore, the packet data may or may not be divided into packets with identical lengths and header information relative to the packets as originally intercepted.
The scan module 502 is configured to scan the packet data part-by-part, for example, to generate one or more data structures, such as hash tables, for use in mapping. The scan module 502 may also identify the block data similar to the packet data, as described in step 304. In one embodiment, parts may comprise every combination of three consecutive bytes in the packet data. In other embodiments, other methods for scanning may be implemented by the scan module 502. The parts may have a minimum and/or maximum size according to some embodiments. Additionally, the parts may be defined by words or other groupings of data. The parts may comprise nonconsecutive bytes and/or be overlapping.
In some embodiments, block data, such as those stored by the network memory module 204, are also scanned by the scan module 502. The block data may be scanned prior to, concurrently with, or subsequent to the scanning of the packet data. Furthermore, the scan module 502 may also maintain other hash tables that may be used to correlate packet data and block data.
In exemplary embodiments, the scan module 502 may generate one or more data structures (e.g., hash tables) associated with the packet and/or the block. Generally speaking, hashing is used to convert an identifier or key (e.g., one of the parts) into a value or ‘hash’ for a location of corresponding data in a structure (e.g., the packet and/or the block). A hashing function may be used to convert the key into the hash. To illustrate, an exemplary hashing function may add up ASCII values of characters in the key, divide the total by 127, and take the remainder. If this hashing function is applied to a given key, ‘mouse,’ the corresponding hash would be twelve. Accordingly, data identified by ‘mouse’ would be found among items associated with a hash equal to twelve in a hash table. Those skilled in the art will be familiar with hashing functions, hash tables, and other hashing concepts. In exemplary embodiments, the one or more hash tables associated with the packet, the packet data, and/or the block may be stored in the network memory, a cache, or other storage.
The append module 504 is configured to append packet data from one or more packets to block data from one or more blocks that contains data similar to the packet data. The append module 504 may be configured to append the packet data physically or virtually, in accordance with various embodiments. Physically appending the packet data may comprise joining the packet data and the one or more blocks within memory. Virtually appending the packet data may comprise providing pointers to the one or more blocks after the one or more blocks are identified.
The map module 506 is configured to map portions of the packet data to locations within the block data where the portions are duplicated. In exemplary embodiments, the portions may be consecutive bytes that are duplicated in both the packet data and the block data. The portions may be identified based on the data structures generated by the scan module 502. In some embodiments, the portions of the packet data are also mapped within the packet data, itself. The map module 506 may determine a length of each of the portions being mapped as well as a corresponding distance from each of the portions to the locations that each of the portions are mapped to. These lengths and distances may comprise length-distance pairs. In exemplary embodiments, the map module 506 may use the one or more hash tables generated by the scan module 502 in order to map the portions.
The encoding/decoding module 508 is configured to encode the packet data. The encoding/decoding module 508 may encode the packet data by replacing the portions that were mapped by the map module 506 with corresponding length and distance information. Furthermore, the encoding/decoding module 508 may add information to the packet data to identify the one or more blocks that include the block data that was appended to the packet data by the append module 504 and used by the map module 506. Thus, according to exemplary embodiments, encoded packet data generated by the encoding/decoding module 508 may comprise a block indicator and one or more length-distance pairs. In some embodiments, the encoded packet data may further comprise literal information and information associated therewith. Literal information may comprise packet data that was not mapped by the map module 506 and consequently not replaced by a length-distance pair by the encoding/decoding module 508.
In addition to encoding the packet data, the encoding/decoding module 508 may be configured to decode encoded packet data. Generally, decoding encoded packet data is achieved by a reciprocal process relative to the process used to encode the packet data. For example, the encoding/decoding module 508 may identify the one or more blocks from which the block data was used to encode the packet data based on the block indicator included in the encoded packet data. Then, using the length-distance pairs included in the encoded packet data in conjunction with the block data from the one or more blocks, the encoding/decoding module 508 may reconstruct the packet data.
In step 602A, packet data is scanned part-by-part to generate one or more data structures (e.g., a hash table). According to exemplary embodiments, the packet data may be scanned by the scan module 502. Additionally, one or more blocks may be identified containing similar data to the packet data. As previously mentioned, the one or more blocks may be identified based on one or more hash tables associated with the one or more blocks, or block data therefrom, in conjunction with the one or more hash tables associated with the packet data.
In step 604A, the packet data is appended to block data from the one or more blocks identified in step 602A. The packet data may be appended by the append module 504 in exemplary embodiments. The packet data may be appended either physically or virtually, as discussed herein.
In step 606A, portions of the packet data are mapped to the block data from the one or more blocks in network memory. The map module 506 may perform step 606A in exemplary embodiments. The portions of the packet data may be mapped to locations within the block data where the portions are duplicated. In some embodiments, the portions of the packet data may also be mapped within the packet data, itself. The length of each of the portions being mapped as well as the corresponding distance from each of the portions to the locations that each of the portions are mapped to may also be determined. These lengths and distances may comprise length-distances pairs. Some of the portions within the packet data may not be mapped in step 606A. For example, if a certain portion is not duplicated in the block data or if the certain portion is too short, the certain portion may not be mapped.
In step 608A, the packet data is encoded. According to various embodiments, the encoding/decoding module 508 may perform step 608A. The packet data may be encoded or compressed by replacing the portions that were mapped in step 606A with corresponding length and distance information. Additionally, portions in the packet data that are not mapped in step 606A may be included in the encoded packet data as ‘literals.’ Furthermore, information may be added to the encoded packet data to identify the one or more blocks that include the block data that was appended to the packet data in the appending step 604A.
Implemental step 602B may correspond to steps 602A and 604A according to various embodiments. In implemental step 602B, packet data 610 is scanned to identify various portions. The packet data 610 may comprise data from one or more packets. In exemplary embodiments, one or more hash tables associated with the packet data 610 may be generated based on the scanning of the packet data 610 by the scan module 502. Block data 612 comprising data from one or more blocks may also be scanned prior to, concurrently with, or subsequent to the scanning of the packet data 610 in accordance with various embodiments. Furthermore, one or more hash tables associated with the block data 612 may be generated. Other hash tables may be generated and utilized to correlate the one or more hash tables associated with the packet data 610 and the one or more hash tables associated with the block data 612, in accordance with some embodiments. These other hash tables may be generated prior to, or concurrently with, implementation step 602B and be stored in a cache or in network memory.
Also in implemental step 602B, the packet data 610 is appended to block data 612, which may be accomplished by performing the step 604A. For illustrative purposes, the packet data 610 and the block data 612 are depicted as including series of numbers, but may also include words, characters, letters, binary data, and various other data. Additionally, the packet data 610 is shown as having a length of sixteen characters, but may have any length according to various embodiments. Similarly, the block data 612 is shown as having a length of seventy two characters, but may also have any length in various embodiments. Generally, however, the block data 612 will be much longer that the packet data 610.
As discussed in connection with step 604A, the packet data 610 may be physically appended to the block data 612 or virtually appended to the block data 612. As shown, the packet data 610 is physically appended to the block data 612. In accordance with various embodiments, the packet data 610 may be appended at the beginning or end of the block data 612. Additionally, as discussed herein, the block data 612 may be identified based on the one or more hash tables associated with the block data 612 in conjunction with the one or more hash tables generated based on the scan of the packet data 610 in step 602A.
In implemental step 604B, portions 614, 616, and 618 of the packet data 610 are mapped to portions 624, 620, and 614, respectively, of the block data 612 and the packet data 610. The implemental step 604B may be accomplished by performing the step 606A. A mapping line 626 indicates a position in the block data 612 that the portion 614 is mapped to. Similarly, mapping lines 628 and 630 indicate positions to which the portions 616 and 618, respectively, are mapped to. In the present example, the mapping lines 626, 628, and 630 have distances equal to twenty six characters, forty two characters, and ten characters, respectively.
Note that many instances of ‘0123’ are included in the packet data 610 and the block data 612, however, both the portion 614 and the portion 618 are mapped to the nearest instance preceding the portions 614 and 618 (i.e., the portions 624 and 614). Additionally, some portions of the packet data 610 are not mapped (i.e., ‘456’ and ‘45’) due to shortness of length or absence of duplicity in the block data 612. It is noted that the mapping scheme depicted in implemental step 604B is exemplary and other mapping schemes may be used and still fall within the scope of various embodiments.
In implemental step 606B, the packet data 610 is encoded into encoded packet 632. The implemental step 606B may be accomplished by performing the step 608A. The encoded packet 632 may comprise a block indicator 634 and a code section 636. Although the encoded packet 632 is depicted as comprising a tuple, the encoded packet 632 may take many different forms according to various embodiments, such as discussed in connection with implemental step 608B. Furthermore, variable length encoding, such as Huffman coding, may be invoked in some embodiments.
The block indicator 634 indicates which block or blocks were used to encode the packet data 610. As depicted, the block data 612 was used to encode the packet data 610. The block indicator 634 may be used by the network memory device 108 that receives the encoded packet 632 to identify the block data 612 in order to decode the encoded packet 632.
The code section 636 may comprise one or more coded portions, such as a coded portion 638, as well as literals, such as literal 640. In the coded portion 638, the first two values comprise a length-distance pair. For example, in the length-distance pair of the coded portion 638, the first value (i.e., ‘4’) indicates the length of the portion 614 of the packet data 610. The second value of the length distance pair (i.e., ‘26’) specifies the distance from the portion 614 of the packet data 610 to the portion 624 of the block data 612. The third value of the coded portion 638 may indicate a length of a literal that follows the coded portion 638. Since the literal 640 has a length of three characters, the third value of the coded portion 638 is ‘3.’
In implemental step 608B, an alternate encoding scheme is used to encode the packet data 610 to generate encoded packet 642, in accordance with various embodiments. The encoded packet 642 may comprise a block indicator 634 and a code section 644. Again, the block indicator 634 indicates which block or blocks were used on encode the packet data 610.
The code section 644 may comprise one or more coded portions, such as a coded portion 646 and coded portion 648, as well as various literals. In the coded portions 646 and 648, the first two values comprise a length-distance pair in an alternate form as that described in connection with implemental step 606B. In the length-distance pair of the coded portion 646, the first value (i.e., ‘4’) indicates the length of the portion 614 of the packet data 610. The second value of the length distance pair in the coded portion 646 (i.e., ‘17B,’ wherein ‘B’ indicates ‘Block’) specifies the distance from the beginning of the block data 612 to the portion 622. The third value of the coded portion 646 indicates a length of a literal that follows the coded portion 646. In the length-distance pair of the coded portion 648, the first value (i.e., ‘4’) indicates the length of the portion 618 of the packet data 610. The second value of the length distance pair in the coded portion 648 (i.e., ‘OP,’ wherein ‘P’ indicates ‘Packet’) specifies the distance from the beginning of the packet data 610 to the portion 614. The third value of the coded portion 648 indicates a length of a literal that follows the coded portion 648.
The communications interface 702 may couple the digital device 700 to any type of communication network. In one example, the communications interface 702 is coupled to a local area network. In another example, the communications interface 702 is coupled to the Internet or wide area network (e.g., the wide area network 104). Additionally, the communications interface 702 may wirelessly couple the digital device 700 to the communication network.
The processor 704 may be operational to retrieve and execute instructions that comprise the methods and functions described herein. The instructions may be embodied on and retrieved from a computer readable storage medium such as the memory 706 and the data storage 708. Some examples of instructions are software, program code, and firmware. The instructions are operational when executed by the processor to direct the processor to operate in accord with the invention. Those skilled in the art are familiar with instructions, processor(s), and computer readable storage media.
The memory 706 may comprise volatile memory to temporarily store information such as various packets and blocks. The memory 706 typically comprises random-access memory (RAM). The memory 706 may comprise the storage module 208 in accordance with some embodiments.
The data storage 708 comprises non-volatile memory to persistently store information such as various packets and blocks such that the information stored in the data storage 708 can be retrieved later. The data storage 708 may comprise magnetic media such as a disk, EEPROM, and/or the like. In some embodiments, the data storage 708 may comprise the storage module 208.
The above-described modules may be comprised of instructions that are stored in storage media such as a machine readable medium (e.g., a computer readable medium). The instructions may be retrieved and executed by a processor such as the processor 704. Some examples of instructions include software, program code, and firmware. Some examples of storage media comprise memory devices and integrated circuits. The instructions are operational when executed by the processor 704 to direct the processor 704 to operate in accordance with embodiments of the present invention. Those skilled in the art are familiar with instructions, processors, and storage media.
The present invention has been described above with reference to exemplary embodiments. It will be apparent to those skilled in the art that various modifications may be made and other embodiments can be used without departing from the broader scope of the invention. Therefore, these and other variations upon the exemplary embodiments are intended to be covered by the present invention.
This application is a continuation of U.S. patent application Ser. No. 14/333,486 filed Jul. 16, 2014 entitled “Compressing Packet Data”, issued on May 19, 2015 as U.S. Pat. No. 9,036,662, which is in turn a continuation of U.S. patent application Ser. No. 12/313,618, filed Nov. 20, 2008, entitled “Systems and Methods for Compressing Packet Data,” issued Aug. 19, 2014 as U.S. Pat. No. 8,811,431. This application is also related to U.S. patent application Ser. No. 11/240,110, filed Sep. 29, 2005, entitled “Network Memory Appliance for Providing Data Based on Local Accessibility,” issued on Nov. 13, 2012 as U.S. Pat. No. 8,312,226, as well as U.S. patent application Ser. No. 11/998,726, filed Nov. 30, 2007, entitled “Deferred Data Storage,” issued on Jul. 16, 2013 as U.S. Pat. No. 8,489,562. The disclosures of each of the above referenced applications are incorporated herein by reference in their entirety.
Number | Name | Date | Kind |
---|---|---|---|
4494108 | Langdon, Jr. et al. | Jan 1985 | A |
4558302 | Welch | Dec 1985 | A |
4612532 | Bacon et al. | Sep 1986 | A |
5023611 | Chamzas et al. | Jun 1991 | A |
5243341 | Seroussi et al. | Sep 1993 | A |
5307413 | Denzer | Apr 1994 | A |
5357250 | Healey et al. | Oct 1994 | A |
5359720 | Tamura et al. | Oct 1994 | A |
5373290 | Lempel et al. | Dec 1994 | A |
5483556 | Pillan et al. | Jan 1996 | A |
5532693 | Winters et al. | Jul 1996 | A |
5592613 | Miyazawa et al. | Jan 1997 | A |
5611049 | Pitts | Mar 1997 | A |
5627533 | Clark | May 1997 | A |
5635932 | Shinagawa et al. | Jun 1997 | A |
5652581 | Furlan et al. | Jul 1997 | A |
5659737 | Matsuda | Aug 1997 | A |
5675587 | Okuyama et al. | Oct 1997 | A |
5710562 | Gormish et al. | Jan 1998 | A |
5748122 | Shinagawa et al. | May 1998 | A |
5754774 | Bittinger et al. | May 1998 | A |
5802106 | Packer | Sep 1998 | A |
5805822 | Long et al. | Sep 1998 | A |
5883891 | Williams et al. | Mar 1999 | A |
5903230 | Masenas | May 1999 | A |
5955976 | Heath | Sep 1999 | A |
6000053 | Levine et al. | Dec 1999 | A |
6003087 | Housel, III et al. | Dec 1999 | A |
6054943 | Lawrence | Apr 2000 | A |
6081883 | Popelka et al. | Jun 2000 | A |
6084855 | Soirinsuo et al. | Jul 2000 | A |
6175944 | Urbanke et al. | Jan 2001 | B1 |
6191710 | Waletzki | Feb 2001 | B1 |
6295541 | Bodnar et al. | Sep 2001 | B1 |
6308148 | Bruins et al. | Oct 2001 | B1 |
6311260 | Stone et al. | Oct 2001 | B1 |
6339616 | Kovalev | Jan 2002 | B1 |
6374266 | Shnelvar | Apr 2002 | B1 |
6434641 | Haupt et al. | Aug 2002 | B1 |
6434662 | Greene et al. | Aug 2002 | B1 |
6438664 | McGrath et al. | Aug 2002 | B1 |
6452915 | Jorgensen | Sep 2002 | B1 |
6489902 | Heath | Dec 2002 | B2 |
6493698 | Beylin | Dec 2002 | B1 |
6570511 | Cooper | May 2003 | B1 |
6587985 | Fukushima et al. | Jul 2003 | B1 |
6614368 | Cooper | Sep 2003 | B1 |
6618397 | Huang | Sep 2003 | B1 |
6633953 | Stark | Oct 2003 | B2 |
6643259 | Borella et al. | Nov 2003 | B1 |
6650644 | Colley et al. | Nov 2003 | B1 |
6653954 | Rijavec | Nov 2003 | B2 |
6667700 | McCanne et al. | Dec 2003 | B1 |
6674769 | Viswanath | Jan 2004 | B1 |
6718361 | Basani et al. | Apr 2004 | B1 |
6728840 | Shatil et al. | Apr 2004 | B1 |
6738379 | Balazinski et al. | May 2004 | B1 |
6769048 | Goldberg et al. | Jul 2004 | B2 |
6791945 | Levenson et al. | Sep 2004 | B1 |
6856651 | Singh | Feb 2005 | B2 |
6859842 | Nakamichi et al. | Feb 2005 | B1 |
6862602 | Guha | Mar 2005 | B2 |
6910106 | Sechrest et al. | Jun 2005 | B2 |
6963980 | Mattsson | Nov 2005 | B1 |
6968374 | Lemieux et al. | Nov 2005 | B2 |
6978384 | Milliken | Dec 2005 | B1 |
7007044 | Rafert et al. | Feb 2006 | B1 |
7020750 | Thiyagaranjan et al. | Mar 2006 | B2 |
7035214 | Seddigh et al. | Apr 2006 | B1 |
7047281 | Kausik | May 2006 | B1 |
7069268 | Burns et al. | Jun 2006 | B1 |
7069342 | Biederman | Jun 2006 | B1 |
7110407 | Khanna | Sep 2006 | B1 |
7111005 | Wessman | Sep 2006 | B1 |
7113962 | Kee et al. | Sep 2006 | B1 |
7120666 | McCanne et al. | Oct 2006 | B2 |
7145889 | Zhang et al. | Dec 2006 | B1 |
7197597 | Scheid et al. | Mar 2007 | B1 |
7200847 | Straube et al. | Apr 2007 | B2 |
7215667 | Davis | May 2007 | B1 |
7242681 | Van Bokkelen et al. | Jul 2007 | B1 |
7243094 | Tabellion et al. | Jul 2007 | B2 |
7266645 | Garg et al. | Sep 2007 | B2 |
7278016 | Detrick et al. | Oct 2007 | B1 |
7318100 | Demmer et al. | Jan 2008 | B2 |
7366829 | Luttrell et al. | Apr 2008 | B1 |
7380006 | Srinivas et al. | May 2008 | B2 |
7383329 | Erickson | Jun 2008 | B2 |
7383348 | Seki et al. | Jun 2008 | B2 |
7388844 | Brown et al. | Jun 2008 | B1 |
7389357 | Duffie, III et al. | Jun 2008 | B2 |
7389393 | Karr et al. | Jun 2008 | B1 |
7417570 | Srinivasan et al. | Aug 2008 | B2 |
7417991 | Crawford et al. | Aug 2008 | B1 |
7420992 | Fang et al. | Sep 2008 | B1 |
7428573 | McCanne et al. | Sep 2008 | B2 |
7451237 | Takekawa et al. | Nov 2008 | B2 |
7453379 | Plamondon | Nov 2008 | B2 |
7454443 | Ram et al. | Nov 2008 | B2 |
7457315 | Smith | Nov 2008 | B1 |
7460473 | Kodama et al. | Dec 2008 | B1 |
7471629 | Melpignano | Dec 2008 | B2 |
7532134 | Samuels et al. | May 2009 | B2 |
7555484 | Kulkarni et al. | Jun 2009 | B2 |
7571343 | Xiang et al. | Aug 2009 | B1 |
7571344 | Hughes et al. | Aug 2009 | B2 |
7587401 | Yeo et al. | Sep 2009 | B2 |
7596802 | Border et al. | Sep 2009 | B2 |
7619545 | Samuels et al. | Nov 2009 | B2 |
7620870 | Srinivasan et al. | Nov 2009 | B2 |
7624446 | Wilhelm | Nov 2009 | B1 |
7630295 | Hughes et al. | Dec 2009 | B2 |
7639700 | Nabhan et al. | Dec 2009 | B1 |
7643426 | Lee et al. | Jan 2010 | B1 |
7644230 | Hughes et al. | Jan 2010 | B1 |
7676554 | Malmskog et al. | Mar 2010 | B1 |
7698431 | Hughes | Apr 2010 | B1 |
7702843 | Chen et al. | Apr 2010 | B1 |
7714747 | Fallon | May 2010 | B2 |
7746781 | Xiang | Jun 2010 | B1 |
7764606 | Ferguson et al. | Jul 2010 | B1 |
7810155 | Ravi | Oct 2010 | B1 |
7827237 | Plamondon | Nov 2010 | B2 |
7849134 | McCanne et al. | Dec 2010 | B2 |
7853699 | Wu et al. | Dec 2010 | B2 |
7873786 | Singh et al. | Jan 2011 | B1 |
7941606 | Pullela et al. | May 2011 | B1 |
7945736 | Hughes et al. | May 2011 | B2 |
7948921 | Hughes et al. | May 2011 | B1 |
7953869 | Demmer et al. | May 2011 | B2 |
7970898 | Clubb et al. | Jun 2011 | B2 |
8069225 | McCanne et al. | Nov 2011 | B2 |
8072985 | Golan et al. | Dec 2011 | B2 |
8090027 | Schneider | Jan 2012 | B2 |
8095774 | Hughes et al. | Jan 2012 | B1 |
8140757 | Singh et al. | Mar 2012 | B1 |
8171238 | Hughes et al. | May 2012 | B1 |
8209334 | Doerner | Jun 2012 | B1 |
8225072 | Hughes et al. | Jul 2012 | B2 |
8271325 | Silverman et al. | Sep 2012 | B2 |
8307115 | Hughes | Nov 2012 | B1 |
8312226 | Hughes | Nov 2012 | B2 |
8352608 | Keagy et al. | Jan 2013 | B1 |
8370583 | Hughes | Feb 2013 | B2 |
8386797 | Danilak | Feb 2013 | B1 |
8392684 | Hughes | Mar 2013 | B2 |
8442052 | Hughes | May 2013 | B1 |
8447740 | Huang et al. | May 2013 | B1 |
8473714 | Hughes et al. | Jun 2013 | B2 |
8489562 | Hughes et al. | Jul 2013 | B1 |
8516158 | Wu et al. | Aug 2013 | B1 |
8565118 | Shukla et al. | Oct 2013 | B2 |
8595314 | Hughes | Nov 2013 | B1 |
8613071 | Day et al. | Dec 2013 | B2 |
8681614 | McCanne et al. | Mar 2014 | B1 |
8700771 | Ramankutty et al. | Apr 2014 | B1 |
8706947 | Vincent | Apr 2014 | B1 |
8725988 | Hughes et al. | May 2014 | B2 |
8732423 | Hughes | May 2014 | B1 |
8738865 | Hughes et al. | May 2014 | B1 |
8743683 | Hughes | Jun 2014 | B1 |
8755381 | Hughes et al. | Jun 2014 | B2 |
8811431 | Hughes | Aug 2014 | B2 |
8885632 | Hughes et al. | Nov 2014 | B2 |
8929380 | Hughes et al. | Jan 2015 | B1 |
8929402 | Hughes | Jan 2015 | B1 |
8930650 | Hughes et al. | Jan 2015 | B1 |
9003541 | Patidar | Apr 2015 | B1 |
9036662 | Hughes | May 2015 | B1 |
9054876 | Yagnik | Jun 2015 | B1 |
9092342 | Hughes et al. | Jul 2015 | B2 |
9130991 | Hughes | Sep 2015 | B2 |
9143455 | Hughes | Sep 2015 | B1 |
9152574 | Hughes et al. | Oct 2015 | B2 |
9191342 | Hughes et al. | Nov 2015 | B2 |
9253277 | Hughes et al. | Feb 2016 | B2 |
9306818 | Aumann et al. | Apr 2016 | B2 |
9363309 | Hughes | Jun 2016 | B2 |
9397951 | Hughes | Jul 2016 | B1 |
9438538 | Hughes et al. | Sep 2016 | B2 |
20010026231 | Satoh | Oct 2001 | A1 |
20010054084 | Kosmynin | Dec 2001 | A1 |
20020007413 | Garcia-Luna-Aceves et al. | Jan 2002 | A1 |
20020010702 | Ajtai et al. | Jan 2002 | A1 |
20020040475 | Yap et al. | Apr 2002 | A1 |
20020061027 | Abiru et al. | May 2002 | A1 |
20020065998 | Buckland | May 2002 | A1 |
20020071436 | Border et al. | Jun 2002 | A1 |
20020078242 | Viswanath | Jun 2002 | A1 |
20020101822 | Ayyagari et al. | Aug 2002 | A1 |
20020107988 | Jordan | Aug 2002 | A1 |
20020116424 | Radermacher et al. | Aug 2002 | A1 |
20020129158 | Zhang et al. | Sep 2002 | A1 |
20020129260 | Benfield et al. | Sep 2002 | A1 |
20020131434 | Vukovic et al. | Sep 2002 | A1 |
20020150041 | Reinshmidt et al. | Oct 2002 | A1 |
20020163911 | Wee et al. | Nov 2002 | A1 |
20020169818 | Stewart et al. | Nov 2002 | A1 |
20020181494 | Rhee | Dec 2002 | A1 |
20020188871 | Noehring et al. | Dec 2002 | A1 |
20020194324 | Guha | Dec 2002 | A1 |
20030002664 | Anand | Jan 2003 | A1 |
20030009558 | Ben-Yehezkel | Jan 2003 | A1 |
20030012400 | McAuliffe et al. | Jan 2003 | A1 |
20030046572 | Newman et al. | Mar 2003 | A1 |
20030123481 | Neale et al. | Jul 2003 | A1 |
20030123671 | He et al. | Jul 2003 | A1 |
20030131079 | Neale et al. | Jul 2003 | A1 |
20030133568 | Stein et al. | Jul 2003 | A1 |
20030142658 | Ofuji et al. | Jul 2003 | A1 |
20030149661 | Mitchell et al. | Aug 2003 | A1 |
20030149869 | Gleichauf | Aug 2003 | A1 |
20030204619 | Bays | Oct 2003 | A1 |
20030214502 | Park et al. | Nov 2003 | A1 |
20030214954 | Oldak et al. | Nov 2003 | A1 |
20030233431 | Reddy et al. | Dec 2003 | A1 |
20040008711 | Lahti et al. | Jan 2004 | A1 |
20040047308 | Kavanagh et al. | Mar 2004 | A1 |
20040083299 | Dietz et al. | Apr 2004 | A1 |
20040086114 | Rarick | May 2004 | A1 |
20040088376 | McCanne et al. | May 2004 | A1 |
20040114569 | Naden et al. | Jun 2004 | A1 |
20040117571 | Chang et al. | Jun 2004 | A1 |
20040123139 | Aiello et al. | Jun 2004 | A1 |
20040158644 | Albuquerque et al. | Aug 2004 | A1 |
20040179542 | Murakami et al. | Sep 2004 | A1 |
20040181679 | Dettinger et al. | Sep 2004 | A1 |
20040199771 | Morten et al. | Oct 2004 | A1 |
20040202110 | Kim | Oct 2004 | A1 |
20040203820 | Billhartz | Oct 2004 | A1 |
20040205332 | Bouchard et al. | Oct 2004 | A1 |
20040243571 | Judd | Dec 2004 | A1 |
20040250027 | Heflinger | Dec 2004 | A1 |
20040255048 | Lev Ran et al. | Dec 2004 | A1 |
20050010653 | McCanne | Jan 2005 | A1 |
20050044270 | Grove et al. | Feb 2005 | A1 |
20050053094 | Cain et al. | Mar 2005 | A1 |
20050055372 | Springer, Jr. et al. | Mar 2005 | A1 |
20050055399 | Savchuk | Mar 2005 | A1 |
20050071453 | Ellis et al. | Mar 2005 | A1 |
20050091234 | Hsu et al. | Apr 2005 | A1 |
20050111460 | Sahita | May 2005 | A1 |
20050131939 | Douglis et al. | Jun 2005 | A1 |
20050132252 | Fifer et al. | Jun 2005 | A1 |
20050141425 | Foulds | Jun 2005 | A1 |
20050171937 | Hughes et al. | Aug 2005 | A1 |
20050177603 | Shavit | Aug 2005 | A1 |
20050190694 | Ben-Nun et al. | Sep 2005 | A1 |
20050207443 | Kawamura et al. | Sep 2005 | A1 |
20050210151 | Abdo et al. | Sep 2005 | A1 |
20050220019 | Melpignano | Oct 2005 | A1 |
20050235119 | Sechrest et al. | Oct 2005 | A1 |
20050240380 | Jones | Oct 2005 | A1 |
20050243743 | Kimura | Nov 2005 | A1 |
20050243835 | Sharma et al. | Nov 2005 | A1 |
20050256972 | Cochran et al. | Nov 2005 | A1 |
20050278459 | Boucher et al. | Dec 2005 | A1 |
20050283355 | Itani et al. | Dec 2005 | A1 |
20050286526 | Sood et al. | Dec 2005 | A1 |
20060013210 | Bordogna et al. | Jan 2006 | A1 |
20060026425 | Douceur et al. | Feb 2006 | A1 |
20060031936 | Nelson et al. | Feb 2006 | A1 |
20060036901 | Yang et al. | Feb 2006 | A1 |
20060039354 | Rao et al. | Feb 2006 | A1 |
20060045096 | Farmer et al. | Mar 2006 | A1 |
20060059171 | Borthakur et al. | Mar 2006 | A1 |
20060059173 | Hirsch et al. | Mar 2006 | A1 |
20060117385 | Mester et al. | Jun 2006 | A1 |
20060136913 | Sameske | Jun 2006 | A1 |
20060143497 | Zohar et al. | Jun 2006 | A1 |
20060195547 | Sundarrajan et al. | Aug 2006 | A1 |
20060195840 | Sundarrajan et al. | Aug 2006 | A1 |
20060212426 | Shakara et al. | Sep 2006 | A1 |
20060218390 | Loughran et al. | Sep 2006 | A1 |
20060227717 | van den Berg et al. | Oct 2006 | A1 |
20060250965 | Irwin | Nov 2006 | A1 |
20060268932 | Singh et al. | Nov 2006 | A1 |
20060280205 | Cho | Dec 2006 | A1 |
20070002804 | Xiong et al. | Jan 2007 | A1 |
20070008884 | Tang | Jan 2007 | A1 |
20070011424 | Sharma et al. | Jan 2007 | A1 |
20070038815 | Hughes | Feb 2007 | A1 |
20070038816 | Hughes et al. | Feb 2007 | A1 |
20070038858 | Hughes | Feb 2007 | A1 |
20070050475 | Hughes | Mar 2007 | A1 |
20070076693 | Krishnaswamy | Apr 2007 | A1 |
20070081513 | Torsner | Apr 2007 | A1 |
20070097874 | Hughes et al. | May 2007 | A1 |
20070110046 | Farrell et al. | May 2007 | A1 |
20070115812 | Hughes | May 2007 | A1 |
20070127372 | Khan et al. | Jun 2007 | A1 |
20070130114 | Li et al. | Jun 2007 | A1 |
20070140129 | Bauer et al. | Jun 2007 | A1 |
20070150497 | De La Cruz et al. | Jun 2007 | A1 |
20070174428 | Lev Ran et al. | Jul 2007 | A1 |
20070179900 | Daase et al. | Aug 2007 | A1 |
20070195702 | Yuen et al. | Aug 2007 | A1 |
20070195789 | Yao | Aug 2007 | A1 |
20070198523 | Hayim | Aug 2007 | A1 |
20070226320 | Hager et al. | Sep 2007 | A1 |
20070237104 | Alon et al. | Oct 2007 | A1 |
20070244987 | Pedersen et al. | Oct 2007 | A1 |
20070245079 | Bhattacharjee et al. | Oct 2007 | A1 |
20070248084 | Whitehead | Oct 2007 | A1 |
20070258468 | Bennett | Nov 2007 | A1 |
20070263554 | Finn | Nov 2007 | A1 |
20070276983 | Zohar et al. | Nov 2007 | A1 |
20070280245 | Rosberg | Dec 2007 | A1 |
20080005156 | Edwards et al. | Jan 2008 | A1 |
20080013532 | Garner et al. | Jan 2008 | A1 |
20080016301 | Chen | Jan 2008 | A1 |
20080028467 | Kommareddy et al. | Jan 2008 | A1 |
20080031149 | Hughes et al. | Feb 2008 | A1 |
20080031240 | Hughes et al. | Feb 2008 | A1 |
20080071818 | Apanowicz et al. | Mar 2008 | A1 |
20080095060 | Yao | Apr 2008 | A1 |
20080133536 | Bjorner et al. | Jun 2008 | A1 |
20080133561 | Dubnicki et al. | Jun 2008 | A1 |
20080184081 | Hama et al. | Jul 2008 | A1 |
20080205445 | Kumar et al. | Aug 2008 | A1 |
20080222044 | Gottlieb et al. | Sep 2008 | A1 |
20080229137 | Samuels et al. | Sep 2008 | A1 |
20080243992 | Jardetzky et al. | Oct 2008 | A1 |
20080267217 | Colville et al. | Oct 2008 | A1 |
20080300887 | Chen et al. | Dec 2008 | A1 |
20080313318 | Vermeulen et al. | Dec 2008 | A1 |
20080320151 | McCanne et al. | Dec 2008 | A1 |
20090006801 | Shultz et al. | Jan 2009 | A1 |
20090024763 | Stepin et al. | Jan 2009 | A1 |
20090037448 | Thomas | Feb 2009 | A1 |
20090060198 | Little | Mar 2009 | A1 |
20090063696 | Wang et al. | Mar 2009 | A1 |
20090080460 | Kronewitter, III et al. | Mar 2009 | A1 |
20090089048 | Pouzin | Apr 2009 | A1 |
20090092137 | Haigh et al. | Apr 2009 | A1 |
20090100483 | McDowell | Apr 2009 | A1 |
20090158417 | Khanna et al. | Jun 2009 | A1 |
20090175172 | Prytz et al. | Jul 2009 | A1 |
20090204961 | Dehaan et al. | Aug 2009 | A1 |
20090234966 | Samuels et al. | Sep 2009 | A1 |
20090245114 | Vijayaraghavan | Oct 2009 | A1 |
20090265707 | Goodman et al. | Oct 2009 | A1 |
20090274294 | Itani | Nov 2009 | A1 |
20090279550 | Romrell et al. | Nov 2009 | A1 |
20090281984 | Black | Nov 2009 | A1 |
20100005222 | Brant et al. | Jan 2010 | A1 |
20100011125 | Yang et al. | Jan 2010 | A1 |
20100020693 | Thakur | Jan 2010 | A1 |
20100054142 | Moiso et al. | Mar 2010 | A1 |
20100070605 | Hughes et al. | Mar 2010 | A1 |
20100077251 | Liu et al. | Mar 2010 | A1 |
20100082545 | Bhattacharjee et al. | Apr 2010 | A1 |
20100085964 | Weir et al. | Apr 2010 | A1 |
20100115137 | Kim et al. | May 2010 | A1 |
20100121957 | Roy et al. | May 2010 | A1 |
20100124239 | Hughes | May 2010 | A1 |
20100131957 | Kami | May 2010 | A1 |
20100169467 | Shukla et al. | Jul 2010 | A1 |
20100177663 | Johansson et al. | Jul 2010 | A1 |
20100225658 | Coleman | Sep 2010 | A1 |
20100232443 | Pandey | Sep 2010 | A1 |
20100246584 | Ferguson et al. | Sep 2010 | A1 |
20100290364 | Black | Nov 2010 | A1 |
20100318892 | Teevan et al. | Dec 2010 | A1 |
20110002346 | Wu | Jan 2011 | A1 |
20110022812 | van der Linden et al. | Jan 2011 | A1 |
20110113472 | Fung et al. | May 2011 | A1 |
20110154169 | Gopal et al. | Jun 2011 | A1 |
20110154329 | Arcese et al. | Jun 2011 | A1 |
20110181448 | Koratagere | Jul 2011 | A1 |
20110219181 | Hughes et al. | Sep 2011 | A1 |
20110225322 | Demidov et al. | Sep 2011 | A1 |
20110258049 | Ramer et al. | Oct 2011 | A1 |
20110261828 | Smith | Oct 2011 | A1 |
20110276963 | Wu et al. | Nov 2011 | A1 |
20110299537 | Saraiya et al. | Dec 2011 | A1 |
20120036325 | Mashtizadeh et al. | Feb 2012 | A1 |
20120069131 | Abelow | Mar 2012 | A1 |
20120173759 | Agarwal et al. | Jul 2012 | A1 |
20120218130 | Boettcher et al. | Aug 2012 | A1 |
20120221611 | Watanabe et al. | Aug 2012 | A1 |
20120230345 | Ovsiannikov | Sep 2012 | A1 |
20120239872 | Hughes et al. | Sep 2012 | A1 |
20130018722 | Libby | Jan 2013 | A1 |
20130018765 | Fork et al. | Jan 2013 | A1 |
20130031642 | Dwivedi et al. | Jan 2013 | A1 |
20130044751 | Casado et al. | Feb 2013 | A1 |
20130058354 | Casado et al. | Mar 2013 | A1 |
20130080619 | Assuncao et al. | Mar 2013 | A1 |
20130086236 | Baucke et al. | Apr 2013 | A1 |
20130094501 | Hughes | Apr 2013 | A1 |
20130103655 | Fanghaenel et al. | Apr 2013 | A1 |
20130117494 | Hughes et al. | May 2013 | A1 |
20130121209 | Padmanabhan et al. | May 2013 | A1 |
20130141259 | Hazarika et al. | Jun 2013 | A1 |
20130163594 | Sharma et al. | Jun 2013 | A1 |
20130250951 | Koganti | Sep 2013 | A1 |
20130263125 | Shamsee et al. | Oct 2013 | A1 |
20130282970 | Hughes et al. | Oct 2013 | A1 |
20130343191 | Kim et al. | Dec 2013 | A1 |
20140052864 | Van Der Linden et al. | Feb 2014 | A1 |
20140075554 | Cooley | Mar 2014 | A1 |
20140101426 | Senthurpandi | Apr 2014 | A1 |
20140108360 | Kunath et al. | Apr 2014 | A1 |
20140114742 | Lamontagne et al. | Apr 2014 | A1 |
20140123213 | Vank et al. | May 2014 | A1 |
20140181381 | Hughes et al. | Jun 2014 | A1 |
20140269705 | DeCusatis et al. | Sep 2014 | A1 |
20140279078 | Nukala et al. | Sep 2014 | A1 |
20140379937 | Hughes et al. | Dec 2014 | A1 |
20150074291 | Hughes | Mar 2015 | A1 |
20150074361 | Hughes et al. | Mar 2015 | A1 |
20150078397 | Hughes et al. | Mar 2015 | A1 |
20150120663 | Le Scouarnec et al. | Apr 2015 | A1 |
20150170221 | Shah | Jun 2015 | A1 |
20150281099 | Banavalikar | Oct 2015 | A1 |
20150281391 | Hughes et al. | Oct 2015 | A1 |
20150334210 | Hughes | Nov 2015 | A1 |
20160014051 | Hughes et al. | Jan 2016 | A1 |
20160034305 | Shear et al. | Feb 2016 | A1 |
20160218947 | Hughes et al. | Jul 2016 | A1 |
20160255542 | Hughes et al. | Sep 2016 | A1 |
Number | Date | Country |
---|---|---|
1507353 | Feb 2005 | EP |
H05-061964 | Mar 1993 | JP |
WO0135226 | May 2001 | WO |
Entry |
---|
“IPsec Anti-Replay Window: Expanding and Disabling,” Cisco IOS Security Configuration Guide. 2005-2006 Cisco Systems, Inc. Last updated: Sep. 12, 2006, 14 pages. |
Singh et al. ; “Future of Internet Security—IPSEC”; 2005; pp. 1-8. |
Muthitacharoen, Athicha et al., “A Low-bandwidth Network File System,” 2001, in Proc. of the 18th ACM Symposium on Operating Systems Principles, Banff, Canada, pp. 174-187. |
“Shared LAN Cache Datasheet”, <http://www.lancache.com/slcdata.htm>. |
Spring et al., “A protocol-independent technique for eliminating redundant network traffic”, ACM SIGCOMM Computer Communication Review, vol. 30, Issue 4 (Oct. 2000) pp. 87-95, Year of Publication: 2000. |
Hong, B et al. “Duplicate data elimination in a SAN file system”, In Proceedings of the 21st Symposium on Mass Storage Systems (MSS '04), Goddard, MD, Apr. 2004. IEEE. |
You, L. L. and Karamanolis, C. 2004. “Evaluation of efficient archival storage techniques”, In Proceedings of the 21st IEEE Symposium on Mass Storage Systems and Technologies (MSST). |
Douglis, F. et al., “Application specific Delta-encoding via Resemblance Detection”, Published in the 2003 USENIX Annual Technical Conference. |
You, L. L. et al., “Deep Store an Archival Storage System Architecture” Data Engineering, 2005. ICDE 2005. Proceedings of the 21st Intl. Conf. on Data Eng.,Tokyo, Japan, Apr. 5-8, 2005, pp. 12. |
Manber, Udi, “Finding Similar Files in a Large File System”, TR 93-33 Oct. 1994, Department of Computer Science, University of Arizona. <http://webglimpse.net/pubs/TR93-33.pdf>. Also appears in the 1994 winter USENIX Technical Conference. |
Knutsson, Bjorn et al., “Transparent Proxy Signalling”, Journal of Communications and Networks, vol. 3, No. 2, Jun. 2001. |
Definition memory (n), Webster's Third New International Dictionary, Unabridged (1993), available at <http://lionreference.chadwyck.com> (Dictionaries/Webster's Dictionary). |
Definition appliance, 2c, Webster's Third New International Dictionary, Unabridged (1993), available at <http://lionreference.chadwyck.com> (Dictionaries/Webster's Dictionary). |
Newton, “Newton's Telecom Dictionary”, 17th Ed., 2001, pp. 38, 201, and 714. |
Silver Peak Systems, “The Benefits of Byte-level WAN Deduplication” (2008). |
“Business Wire, ““Silver Peak Systems Delivers Family of Appliances for Enterprise-Wide Centralization of Branch Office Infrastructure; Innovative Local Instance Networking Approach Overcomes Traditional Application Acceleration Pitfalls”” (available at http://www.businesswire.com/news/home/20050919005450/en/Silver-Peak-Systems-Delivers-Family-Appliances-Enterprise-Wide#.UVzkPk7u-1 (last visited Aug. 8, 2014)).”. |
Riverbed, “Riverbed Introduces Market-Leading WDS Solutions for Disaster Recovery and Business Application Acceleration” (available at http://www.riverbed.com/about/news-articles/pressreleases/riverbed-introduces-market-leading-wds-solutions-fordisaster-recovery-and-business-application-acceleration.html (last visited Aug. 8, 2014)). |
Tseng, Josh, “When accelerating secure traffic is not secure” (available at http://www.riverbed.com/blogs/whenaccelerati.html?&isSearch=true&pageSize=3&page=2 (last visited Aug. 8, 2014)). |
Riverbed, “The Riverbed Optimization System (RiOS) v4.0: A Technical Overview” (explaining “Data Security” through segmentation) (available at http://mediacms.riverbed.com/documents/TechOverview-Riverbed-RiOS—4—0.pdf (last visited Aug. 8, 2014)). |
Riverbed, “Riverbed Awarded Patent on Core WDS Technology” (available at: http://www.riverbed.com/about/news-articles/pressreleases/riverbed-awarded-patent-on-core-wds-technology.html (last visited Aug. 8, 2014)). |
Final Written Decision, Dec. 30, 2014, Inter Partes Review Case No. IPR2013-00403. |
Final Written Decision, Dec. 30, 2014, Inter Partes Review Case No. IPR2013-00402. |
Final Written Decision, Jun. 9, 2015, Inter Partes Review Case No. IPR2014-00245. |
Final Office Action, U.S. Appl. No. 13/288,691, filed Nov. 3, 2011. |
Advisory Action, U.S. Appl. No. 13/482,321, filed May 29, 2012. |
Non-Final Office Action, U.S. Appl. No. 14/479,131, filed Sep. 5, 2014. |
Non-Final Office Action, U.S. Appl. No. 14/859,179, filed Sep. 18, 2011. |
Non-Final Office Action, U.S. Appl. No. 14/477,804, filed Sep. 4, 2014. |
Notice of Allowance, U.S. Appl. No. 14/543,781, filed Nov. 17, 2014. |
Final Office Action, Sep. 18, 2015, U.S. Appl. No. 14/477,804, filed Sep. 4, 2014. |
Non-Final Office Action, U.S. Appl. No. 14/677,841, filed Apr. 2, 2015. |
Non-Final Office Action, U.S. Appl. No. 14/543,781, filed Nov. 17, 2014. |
Notice of Allowance, U.S. Appl. No. 14/734,949, filed Jun. 9, 2015. |
Corrected Notice of Allowability, U.S. Appl. No. 14/543,781, filed Nov. 17, 2014. |
Notice of Allowance, U.S. Appl. No. 14/248,167, filed Apr. 8, 2014. |
Notice of Allowance, U.S. Appl. No. 14/677,841, filed Apr. 2, 2015. |
Corrected Notice of Allowability, U.S. Appl. No. 14/677,841, filed Apr. 2, 2015. |
Non-Final Office Action, U.S. Appl. No. 13/288,691, filed Nov. 3, 2011. |
Notice of Allowance, U.S. Appl. No. 14/859,179, filed Sep. 18, 2015. |
Non-Final Office Action, U.S. Appl. No. 15/091,533, filed Apr. 5, 2016. |
Non-Final Office Action, U.S. Appl. No. 14/447,505, filed Jul. 30, 2014. |
Final Office Action, U.S. Appl. No. 14/479,131, filed Sep. 5, 2014. |
Non-Final Office Action, U.S. Appl. No. 14/067,619, filed Oct. 30, 2013. |
Final Office Action, U.S. Appl. No. 14/477,804, filed Sep. 4, 2014. |
Number | Date | Country | |
---|---|---|---|
Parent | 14333486 | Jul 2014 | US |
Child | 14679965 | US | |
Parent | 12313618 | Nov 2008 | US |
Child | 14333486 | US |