Identification of non-sequential data stored in memory

Information

  • Patent Grant
  • 9152574
  • Patent Number
    9,152,574
  • Date Filed
    Wednesday, November 19, 2014
    10 years ago
  • Date Issued
    Tuesday, October 6, 2015
    9 years ago
Abstract
Systems and methods for identification of data stored in memory are provided. A data packet is received and a first packet byte within the data packet is compared to a first memory byte within a memory. A mismatch is determined between the first packet byte and the first memory byte. A memory location is accessed that contains a second memory byte that is non-consecutive with the first memory byte. A packet location accessed that contains a second packet byte that is non-consecutive with the first packet byte. The second packet byte is compared to the second memory byte. A retrieval instruction is generated based at least in part on a result of the comparison between the second packet byte and the second memory byte. Various embodiments may be included in a network memory architecture to allow for faster data matching and instruction generation in a central appliance.
Description
BACKGROUND

1. Field of the Invention


The present invention is related to accessing data stored in a memory and more specifically related to identification of data stored in memory.


2. Description of the Related Art


As computing becomes increasingly common, the speed in which data is searched and retrieved becomes increasingly important. When searching for desired data, within one or more systems, the bytes of the desired data are compared to previously stored bytes. Typically, the comparison between the desired data and the previously stored data is performed by searching for identical sequences of data. If the previously stored data is not stored in a sequence identical to the sequence of the desired data, the search may fail. As a result, slight variations in the sequence of stored data may result in failed searches. Moreover, more time may be lost as the search continues wasting valuable resources beyond when the search should have found the correct data. As a result, when the stored data is not stored sequentially or if only a portion of the desired data is stored in memory, the search will fail. There is, therefore, a need for systems and methods for identifying bytes that are not stored sequentially in memory.


SUMMARY

In exemplary embodiments, a method comprises identifying data stored in a memory. A data packet is received and a first packet byte within the data packet is compared to a first memory byte within a memory. A mismatch is determined between the first packet byte and the first memory byte. A memory location is accessed that contains a second memory byte that is non-consecutive with the first memory byte. A packet location is accessed that contains a second packet byte that is non-consecutive with the first packet byte. A match is found between the second packet byte and second memory byte. A determination is made that the memory has been sufficiently searched based on a search end criteria. The packet data is then reassembled from the memory data based at least in part on a result of the compared packet bytes and memory bytes.


In various embodiments, a number of packet bytes between the first packet byte and the second packet byte may be equal to a number of memory bytes between the first memory byte and the second memory byte. In some embodiments, an overwrite command, a deletion command, or an insertion command may be generated. In an exemplary embodiment, the memory may comprise a faster memory in a network memory appliance. In some embodiments, the data packet may be pre-scanned.


In other exemplary embodiments, a system for identification of data stored in a memory may comprise a comparison module and a data module. The comparison module is configured to compare a first packet byte within the data packet to a first memory byte within a memory, determine a mismatch between the first packet byte and the first memory byte, access a memory location containing a second memory byte that is non-consecutive with the first memory byte, access a packet location containing a second packet byte that is non-consecutive with the first packet byte, and find a match between the second packet byte to the second memory byte. A determination is made that the memory has been sufficiently searched based on a search end criteria. The data module is configured to reassemble the packet data from the memory data based at least in part on a result of the compared packet bytes and memory bytes.


In various embodiments, a computer readable medium may have embodied thereon a program, the program being executable by a processor for performing a method for generating a retrieval instruction based on matched data is disclosed. The method may comprise receiving a data packet, comparing a first packet byte within the data packet to a first memory byte within a memory, determining a mismatch between the first packet byte and the first memory byte, accessing a memory location containing a second memory byte that is non-consecutive with the first memory byte, accessing a packet location containing a second packet byte that is non-consecutive with the first packet byte, finding a match between the second packet byte and the second memory byte, and reassembling the packet data from the memory data based at least in part on a result of the compared packet bytes and memory bytes.





BRIEF DESCRIPTION OF THE DRAWINGS

Embodiments are illustrated by way of example, and not by limitation in the figures of the accompanying drawings, in which like references indicate similar elements and in which:



FIG. 1 is a diagram of various memory data sequences according to various embodiments;



FIG. 2 is a block diagram of an exemplary matching engine according to various embodiments;



FIG. 3 is a flowchart of an exemplary process for matching data in memory according to various embodiments;



FIG. 4 is a flowchart of an exemplary process for comparing bytes in memory according to various embodiments;



FIG. 5 is a diagram of a first exemplary slip search according to various embodiments;



FIG. 6 is a diagram of a second exemplary slip search according to various embodiments;



FIG. 7 is a diagram of a third exemplary slip search according to various embodiments;



FIG. 8 is a flowchart of an exemplary process for matching a second set of data in memory according to various embodiments;



FIG. 9 is a diagram of a fourth exemplary slip search for the second packet data according to various embodiments; and



FIG. 10 is an exemplary network memory architecture according to various embodiments.





DETAILED DESCRIPTION

Embodiments of the present invention provide systems and methods for matching received data to data stored in a RAM. To illustrate, FIG. 1 is a diagram of various memory data sequences according to various embodiments. According to the various embodiments, packet data 102 may be received by a digital device having a processor configured to execute instructions stored on a computer-readable medium. Examples of digital devices include a computer, server, network memory appliance (which is further described in FIG. 10), or the like. The packet data 102 may be received in a data packet. The packet data 102 may be an entire data packet (e.g., an Internet Protocol (IP) packet) or may include a portion of the bytes in the received data packet. Alternatively, packet data 102 may comprise more than one packet (e.g., a plurality of packets, a data packet as well as a portion of another data packet, or portions of a plurality of data packets). In some embodiments, data (such as header data) may be excluded.


The packet data 102 comprises a series of bytes that, at least partially, match memory data stored in the memory. In the memory, the stored memory data may include insertions, overwrites, and/or deletions relative to the packet data 102. In memory data 104, for example, the bytes X, Y, and Z located between bytes C and D represent an insertion relative to the packet data 102. In memory data 106, for example, the bytes L, M, and N, in place of bytes D, E, and F represent an overwrite relative to the packet data 102. In memory data 108, for example, the bytes D, E, and F are absent, representing a deletion relative to the packet data 102. According to various embodiments, combinations of insertions, overwrites, and/or deletions may be present in the memory. After the insertions, overwrites, and/or deletions are identified in the memory, a retrieval instruction may be generated according to the identifications.


According to various embodiments, a retrieval instruction comprises commands and/or data to reassemble the packet data 102 from the data in the memory. For example, as in memory data 104, if an insertion is present, the retrieval instruction may comprise a command to delete the insertion. As in memory data 106, if an overwrite is present, the retrieval instruction may comprise a command to overwrite the data in the memory with a portion of the data (e.g., overwrite L, M, and N with D, E, and F) provided in the packet data 102. Further, as in memory data 108, if a deletion is present, the retrieval instruction may comprise a command to insert a portion of the data (e.g., D, E, and F) provided in the packet data 102. Thus, the retrieval instruction indicates how to transform data in memory into the packet data 102. Although bytes are used to describe various embodiments of the invention, it will be appreciated by those skilled in the art that other discrete portions of data including but not limited to segments, bits, and/or packets may be compared. Although examples are contemplated herein with respect to random access memory (RAM), those skilled in the art will appreciate that any kind of memory may be used.



FIG. 2 is a block diagram of an exemplary matching engine 200 according to various embodiments. The matching engine 200 may comprise a comparison module 202, a data module 204, and an optional prescan module 206. The matching engine 200 is configured to match the packet data to the data in the RAM and generate the retrieval instruction. The matching engine 200 is described herein as being configured to access RAM. It is understood that the systems and methods described herein may be implemented to access other types of memory including, but not limited to, volatile and non-volatile memory.


The comparison module 202 is configured to compare a series of packet bytes in the packet data 102 to memory bytes in the RAM. According to various embodiments, the RAM may comprise memory data 104, memory data 106, memory data 108, or another memory data including a combination of insertions, overwrites, and/or deletions. The comparison module 202 receives a data packet comprising packet data 102 and determines an initial match between a packet byte within the packet data 102 and a memory byte within the RAM. A packet byte is a byte of data within the data packet. A memory byte is a byte of data within the RAM. If no initial match is determined, the comparison module 202 may not continue to search the RAM.


However, when matching data is determined, if the next packet byte does not match a corresponding next memory byte, the comparison module 202 jumps to another memory location containing another memory byte that is non-consecutive with the previous memory byte and likewise jumps to a packet location containing another packet byte that is non-consecutive with the previous packet byte. A “jump,” as used herein, refers to accessing a byte that is not sequential to a previously accessed byte. The comparison module 202 then compares the second packet byte to the second memory byte.


The data module 204 is configured to generate a retrieval instruction based, at least in part, on a result of the comparison between the second packet byte and the second memory byte. The retrieval instruction may comprise commands indicating one or more memory bytes in the RAM to be deleted, inserted (e.g., overwritten), or added. In some embodiments, the retrieval instruction may be sent to a second digital device having a copy of the memory bytes in RAM. To update the memory bytes in the RAM of the second digital device, the second digital device executes the received retrieval instruction.


The optional prescan module 206 may be present in digital devices having a slower memory (not shown) such as a hard disk, FLASH memory, or the like. Prior to comparison by the comparison module 202, the packet data 102 may be first identified and associated with memory data located in the slower memory similar to the packet data 102. The prescan module 206 is configured to copy data from the slower memory into the RAM to reduce the amount of time required to identify data stored in the slower memory at the moment of processing.


The memory data may be stored in a computer system's slower memory (e.g., hard drive) or RAM. If the memory data is within the RAM, the memory data may be retrieved by the processor when needed with limited delay. However, when the memory data is stored in the slower memory, there may be a significant delay while the memory data is retrieved. This delay may cause poor performance as processing may stall. This delay is compounded when taking into account that other processes, some that also depend on data within the slower memory, may also be stalled as the processor awaits the retrieval of the memory data.


In various embodiments, the packet data 102 can be identified and similar data may be located in the RAM or in the slower memory prior to the moment of processing. In one example, the operation that requires the packet data 102 may be within a queue (e.g., buffer). Instead of identifying the packet data 102 at the moment of processing, the packet data 102 may be identified at the time it is placed in the queue. Once the packet data 102 is identified and located, the memory data may be retrieved from the slower memory and placed into the RAM prior to the moment of processing. As a result, delay caused by retrieval of data from the slower memory and processor stall may be avoided.


The prescan module 206 is configured to prescan the packet data 102 to generate a sample fingerprint corresponding to the packet data 102, identify stored fingerprints identical to the sample fingerprint, and copy stored data corresponding to the identified stored fingerprints into the RAM. Pre-scans are described in greater detail in U.S. nonprovisional patent application Ser. No. 11/825,497 filed Jul. 5, 2007 and entitled, “Pre-Fetching Data Into a Memory” which is incorporated herein by reference.



FIG. 3 is a flowchart of an exemplary process 300 for matching data in memory according to various embodiments. In some embodiments, the process 300 may be performed by the matching engine 200. The exemplary process 300 allows data in the memory to be matched to data in a data packet regardless of whether the data in the memory occurs as a single continuous segment.


In step 302, the packet data 102 is received. To determine an initial location in the memory, a sample fingerprint from the packet data 102 is generated in step 304. The sample fingerprint may comprise one or more hash values calculated according to a checksum and/or cyclical redundancy check (CRC) as is known to those skilled in the art. The hashes may be calculated over all or a portion of the bytes of the packet data 102 which may or may not be contiguous. Other methods for generating the sample fingerprint apparent to those skilled in the art may also be used.


In step 306, the sample fingerprint is compared to a fingerprint stored in the memory. If a matching fingerprint is found, the matching fingerprint is used to determine where to begin matching data in the memory to the packet data 102.


In some embodiments, data is retrieved from a slower memory and stored into the faster memory. The data may be retrieved from the slower memory anytime prior to the comparison discussed in step 308. In one example, the stored data is retrieved from the slower memory and stored into RAM after a match is found between the sample fingerprint and the fingerprint stored in memory. This process is further discussed in greater detail in U.S. nonprovisional patent application Ser. No. 11/825,497 filed Jul. 5, 2007 and entitled, “Pre-Fetching Data Into a Memory.”


Once the initial match is located, the first memory byte corresponding to the stored fingerprint and the first packet byte are compared in step 308. The comparison is discussed in greater detail in connection with, at least, FIG. 4.


In step 310, a determination is made as to whether there is a total match between the packet data 102 and the data in the memory. The determination that a total match exists may be an indication that a substantial portion of the packet data 102 is stored sequentially in the memory. If there is a total match, the exemplary process 300 continues to step 324.


If there is no total match, in step 312, a number of memory bytes, m, may be jumped in the memory. The number, m, of memory bytes jumped may be pre-defined and/or determined according to an algorithm. Examples of algorithms that may be used include algorithms that enable parallel comparisons of more than one byte. The algorithm may be based on random or non-random numbers and may be deterministic. Any number of memory bytes may be jumped as long as the jump concludes at a memory location containing a second memory byte that is typically non-consecutive with the first memory byte.


Likewise, in step 314, a number of packet bytes, n, may be jumped in the packet data. The number of packet bytes jumped in the packet data 102, n, may, in some embodiments, be equal to the number of memory bytes jumped in the memory, m. Any number of packet bytes may be jumped as long as the jump concludes at a packet location containing a second packet byte that is non-consecutive with the first packet byte. According to various embodiments, memory bytes or packet bytes may be jumped in a forward and/or a backward direction in the memory and/or in the packet data 102.


In step 316, a determination is made as to whether the bytes at the packet location and at the memory location match. If the bytes do not match, the process returns to step 308.


If the bytes do match, a determination is made as to whether the memory is sufficiently searched in step 318. The determination may be made based on a number of jumps, a percentage of the memory searched, a total number of memory bytes searched, or the like. If the memory has not been sufficiently searched, the process 300 returns to step 308. The determination that the memory has been sufficiently searched may also be referred to as a search end criteria.


If the memory has been sufficiently searched, a determination is made as the whether the match is sufficient in step 320. The sufficiency of the match may be determined based on a threshold number of bytes having a match, a percentage of the bytes having a match, or the like.


If there was not a sufficient match in step 320, a copy of the packet data is generated in step 322. According to embodiments comprising more than one digital device, the copy of the packet data or the packet data itself may be sent to another digital device (e.g., the packet of data may be sent literally from one digital device to another).


If there was a sufficient match in step 320 or if there was a total match in step 310, a retrieval instruction is generated in a step 324. The retrieval instruction may comprise a retrieve command indicating a segment of the memory and/or commands for generating the packet data 102 from the retrieved bytes.



FIG. 4 is a flowchart of an exemplary process 400 for comparing bytes in memory according to various embodiments. The process 400 may be performed as part of step 308 in FIG. 3. The comparison performed using process 400 allows a single packet byte to be compared to a plurality of memory bytes.


In step 402, the bytes in the packet data 102 are compared to bytes in successive memory locations in the memory. Thus, the bytes in the packet data 102 are compared, at least, one by one, to the bytes in the memory. Each successive memory byte may be compared to a successive packet byte in the packet data 102.


In step 404, the number of matching bytes and the number of non-matching bytes are counted. The count(s) may be used to generate the retrieval instruction or to determine whether the memory data has been sufficiently searched. The counts may be calculated from the initial location determined in step 306 or based on the jumped location in the packet data and/or in the memory data.


In step 406, the bytes in the packet data 102 are compared to bytes in preceding memory locations, similar to the comparison performed in the step 402. It is understood that steps 402 and 406 may be performed interchangeably and/or simultaneously. In step 408, like in step 404, the number of matching bytes and the number of non-matching bytes are counted.


In FIGS. 5-7 and 9, the individual bytes are referred to by a letter such as A, B, C, etc. For simplicity, the letter is used to represent the contents of the memory location. For example, the letter A represents a specific bit sequence of 8, 16, 32, 64, etc. bits. Further, in the following description, the letter is also used to identify the location in the data that contains, for example, byte A. For example, in some instances, “byte A” can also be read as “the location that contains byte A”. It is understood that the location may be associated with an address as is known to those skilled in the art.



FIG. 5 is a diagram of a first exemplary slip search according to various embodiments. The first exemplary slip search depicts an instance in which there are, relative to the packet data 102, bytes inserted (e.g., X, Y, and Z) into the memory data 104.


In the depicted instance, a fingerprint match identifies an initial match 502 for byte A. The bytes in the packet data 102 is compared to successive bytes in the memory data 104 to determine matches 504 and 506 between bytes B and C, respectively. At packet byte D, a mismatch is determined between packet byte D in the packet data 102 and byte X in the memory data 104.


Upon determining a mismatch, a jump 508 to another location in the memory data 104 is made. Likewise, a jump 510 to another location in the packet data 102 is made. In the embodiment shown, the number of bytes traversed by jump 508 is the same as the number of bytes traversed by jump 510. In alternate embodiments, the number of bytes traversed by jump 508 may be different from the number of bytes traversed by jump 510. For simplicity, the jump is depicted as five bytes. However, in other embodiments, the jumps 508 and/or 510 may be any number of bytes long, such as 1, 10, 100, 1,000, or 10,000 bytes.


The jump 508 terminates at a location containing byte E in the memory data 104. Likewise, the jump 510 terminates at a location containing byte H in the packet data 102. Byte E in the memory data 104 is compared to byte H in the packet data. A mismatch is determined and the memory data 104 is searched successively by comparing byte H in the packet data 102 to successive sequential memory bytes. In some embodiments, preceding sequential memory bytes may be compared to the packet byte H.


According to other embodiments, additional jumps may be performed if the mismatch 512 is determined. For example, a second jump 514, similar to jump 508, may be performed in the memory data 104 if a mismatch between packet byte H and memory byte E is determined. In other embodiments, the additional jump may be performed in the packet data 102 or in both the memory data 104 and the packet data 102. According to further embodiments, multiple jumps in the packet data 102 and/or the memory data 104 may be performed in parallel. The multiple jumps may occur in a backwards and/or a forwards direction.


At 516, a match is determined between byte H of the packet data 102 and byte H of the memory data 104. In some embodiments, because the byte H is at the end of the packet data 102, the preceding bytes in the memory data 104 are compared. A match 518 is determined between packet byte G and memory byte G. The preceding bytes in the memory data 104 are compared to the corresponding packet bytes until a mismatch is determined or until a previously matched byte is found. In FIG. 5, for example, the comparison terminates at match 520 determined between one of the packet bytes and a corresponding memory byte. Thus, each of the bytes in the packet data have been matched to corresponding bytes in the memory data by comparing successive bytes, comparing preceding bytes, and jumping bytes.


A retrieval instruction may be generated to identify the matches and/or mismatches in the memory data 104 compared to the packet data 102. The retrieval instruction may, for example, comprise a command to access bytes occurring between bytes A and H from the memory data 104 or from a second memory data (not shown) having the same bytes as memory data 104. The retrieval instruction may additionally comprise a command to delete bytes X, Y, and Z from the accessed bytes. Other retrieval instructions that may be generated based on the matched bytes will be apparent to those skilled in the art.



FIG. 6 is a diagram of a second exemplary slip search according to various embodiments. The second exemplary slip search depicts an exemplary instance in which a portion of the packet data 102 is different from a corresponding portion of the memory data 106. Thus, to generate the packet data 102 from the memory data 106, an overwrite is performed to replace the different bytes.


In this instance, an initial match 602 is determined between bytes B in the packet data 102 and the memory data 106. In the depicted instance, the preceding bytes are compared first, resulting in a match 604 between byte A of the packet data 102 and byte A of the memory data 106. Since byte A is a terminal byte in the packet data 102, the comparison may progress to the packet byte succeeding the initial match. A match 606 is determined between packet byte C and memory byte C.


At packet byte D, a mismatch is determined between packet byte D and memory byte L. A jump 608 in the memory data 106 is made to a location containing memory byte H. Likewise, a jump 610 in the packet data 102 is made to a location containing packet byte H. A match 612 is determined between packet byte H and memory byte H. A comparison of the preceding bytes yields a match 614 between byte G of the packet data and byte G of the memory data. Continuing the comparison of preceding bytes, a mismatch 616 is determined between packet byte F and memory byte N. According to some embodiments, another jump in the memory data 106 and/or in the packet data 102 may be performed. If no additional matches are determined, a determination may be made that the memory data 106 has been sufficiently searched.


A retrieval instruction may be generated that includes a command to retrieve bytes occurring in the memory data 106 between byte A and byte H (e.g., bytes A, B, C, L, M, N, G, and H). The retrieval instruction may also comprise copies of bytes D, E, and F. Further, the retrieval instruction may additionally include an instruction to overwrite bytes D, E, and F in place of bytes L, M, and N. Alternatively, for example, a retrieval instruction may comprise a retrieval command for bytes A, B, and C, copies of bytes D, E, and F, and another retrieval command for bytes G and H. Other retrieval instructions that may be generated will be apparent to those skilled in the art.



FIG. 7 is a diagram of a third exemplary slip search according to various embodiments. In the depicted instance, bytes in the packet data 102 are missing in the memory data. Thus, a retrieval instruction may include a command to add bytes to retrieved data.


In the depicted embodiment, an initial match 702 is determined at byte C. The preceding bytes are then compared, resulting in matches 704 and 706 between bytes B and A, respectively. When the successive byte is compared, at packet byte D, a mismatch of memory byte G is determined. Thus, a jump 708 in the memory data 108 is made to a location containing memory byte K. Similarly, a jump 710 in the packet data 102 is made to a location containing packet byte H. A mismatch 712 is determined between the packet byte H and the memory byte K.


When the mismatch is determined, a second jump 714 in the packet data 102 and a second jump 716 in the memory data 108 may be performed. The second jump 714 in the packet data 102 and the second jump 716 in the memory data 108 may be performed, as shown, originating at byte D in the packet data 102 and byte G in the memory data 108 or originating from other bytes in the packet data 102 and in the memory data 108. As shown, the second jumps 714 and 716 result in match 722 between byte J of the packet data 102 and byte J of the memory data 108.


By comparing the successive bytes, match 724 is determined between packet byte K and memory byte K. According to some embodiments, a specified number of bytes in succession may be compared before comparing bytes in the other direction in the memory data 108. It will be apparent to those skilled in the art that the number of bytes may vary and/or that any number of bytes may be compared before comparing bytes in the other direction in the memory data 108.


The comparison between the packet data 102 and the memory data 108 then compares preceding memory bytes and a match 726 between packet byte I and memory byte I is determined. By continuing to compare preceding memory bytes, a match 728 is determined between packet byte H and memory byte H. Further, by comparing preceding bytes, match 730 is determined between packet byte G and memory byte G.


Based on the third exemplary slip search, a retrieval instruction may be generated indicating a command to retrieve memory bytes occurring between bytes A and K. The retrieval instruction may further include a command to add copies of packet bytes D, E, and F to the retrieved memory bytes between bytes C and G. Other retrieval instructions that may be generated will be apparent to those skilled in the art.



FIG. 8 is a flowchart of an exemplary process 800 for matching a second set of data in memory according to various embodiments. The exemplary process 800 may be performed by the matching engine 200, and more specifically, by the comparison module 202. The exemplary process 800 may allow for faster identification of data in a second packet received subsequent to the packet data 102 by not requiring that the second packet be fingerprinted to generate an initial match.


In some embodiments, the process 800 is performed if the second packet is associated with the same Internet Protocol (IP) flow or session as the packet data 102. In these embodiments, a determination may be made as to whether the second packet is associated with the same IP flow or session as the packet data 102 based on IP header information or an IP address associated with the second packet.


In step 802, second packet data is received. In step 804, a determination is made as to whether sequential bytes in the memory data match the second packet data. For example, a last byte of packet data 102 may match with a byte in the memory data. The byte of the second packet data may then be compared to a next byte in the memory data that is consecutive to the byte in the memory data.


If the sequential bytes match the second packet data, the process 800 proceeds to step 308 depicted in FIG. 3 as shown in step 806. In step 308, the bytes are compared as described herein. If, however, the sequential bytes do not match the second packet data, the process proceeds to step 304 depicted in FIG. 3 as shown in step 808. In step 304, a sample fingerprint of the second packet data is generated. Based on the fingerprint, an initial match may be determined, as described herein. Thus, the identification of the second packet data may require less time as a fingerprint of the second packet data may not be generated.



FIG. 9 is a diagram of a fourth exemplary slip search for the second packet data 902 according to various embodiments. The second packet data 902 is received subsequently to the packet data 102. The second packet data 902 may be received as a second data packet. In these embodiments, the packet header data may be removed prior to performing the comparison. According to the process 300, the packet data 102 is compared to the memory data 904 to determine matches 906, 908, 910, and 912. As described above, the matches may include insertions, overwrites, and/or deletions. For simplicity, however, the matches 906, 908, 910, and 912 are depicted as sequential memory bytes. The match 912, between packet byte D and memory byte D, is the terminal match in the packet data 102.


The second packet data 902 comprises one or more bytes that may or may not correspond to the memory data 904. A memory byte consecutive to the memory byte in the terminal match of the preceding packet data (e.g., byte D) is identified (e.g., byte E). A first packet byte of the second packet data, byte E, is compared to the consecutive memory byte, byte E. In the instance shown, a match 914 is determined between byte E in the memory data 904 and byte E in the second packet data 902. Because match 914 is determined, other packet bytes in the second packet data 902 may be compared to bytes in the memory data 904 according to a slip search, without first determining an initial match based on a fingerprint of the second packet data 902. According to some embodiments, a plurality of consecutive memory bytes may be compared to one or more bytes in the second packet data 902 to determine whether the sequential bytes match.


According to process 300, successive packet bytes in the second packet data 902 are compared to successive memory bytes. Thus, matches 916, 918, and 920 are determined between second packet bytes F, G, and H and memory bytes F, G, and H, respectively. For simplicity, the matching bytes are depicted without insertions, overwrites, or deletions. It is understood, however, that insertions, overwrites, and/or deletions may exist in the second packet data 902 and/or in the memory data 904 and still be within the scope of the described embodiments.



FIG. 10 illustrates an exemplary network memory architecture 1000 according to various embodiments. The network memory architecture 1000 includes a branch office 1002, a central office 1004, and a communication network 1006. The branch office 1002 includes computers 1008, a branch appliance 1010, and a router 1012. The central office 1004 includes central servers 1014, a central appliance 1016, and a router 1018. The branch appliance 1010 and the central appliance 1016 are examples of network memory appliances.


In the branch office 1002, the computers 1008 are linked to the branch appliance 1010. The branch appliance 1010 is linked to the router 1012. The router 1012 is coupled to the communication network 1006. In the central office 1004, the central servers 1014 are linked to the central appliance 1016. The central appliance 1016 is linked to the router 1018. The router 1018 is coupled to the communication network 1006.


For the sake of simplicity, FIG. 10 illustrates the network memory architecture 1000 having a single branch office 1002 and a single central office 1004, and the respective communication between the branch office 1002 and the central office 1004. The principles discussed herein are equally applicable to multiple branch offices 1002 (not shown) and to multiple central offices 1004 (not shown) which are similarly coupled to the communication network 1006. Branch office/branch office communication and central office/central office communication, as well as multi-appliance and/or multi-node communication and bi-directional communication are further within the scope of the disclosure.


The communication network 1006 comprises hardware and/or software elements that enable the exchange of information (e.g., voice and data) between the branch office 1002 and the central office 1004. Possible implementations of the communication network 1006 include a private wide-area network (WAN), and the Internet. Typical connections from the branch office 1002 to the communication network 1006 (e.g., from the router 1012 and the router 1018) may include ISDN, T1 lines (1.544 Mbps), and broadband connections such as digital subscriber lines (DSL) and cable modems. Other examples include T3 lines (43.232 Mbps), OC3 (155 Mbps), and OC48 (2.5 Gbps), although these are more costly and more likely to be used for interconnection at the central office 1004 or as the backbone of the communication network 1006.


A branch appliance 1010 comprises hardware and/or software elements configured to receive data (e.g., email, files, and databases transactions), determine whether a portion of the data is locally accessible to another appliance (e.g., a central appliance 1016), generate an instruction based on the determination, and transfer the instruction to the other appliance. The branch appliance 1010 also comprises hardware and/or software elements configured to receive an instruction from another appliance (e.g., the central appliance 1016), process the instruction to obtain data, and transfer the data to a computer (e.g., the computers 1008).


Locally accessible data comprises any data transferable to the computer (e.g., the computers 1008 and the central servers 1014) by an appliance (e.g., the branch appliance 1010 and the central appliance 1016) without transferring the data over the communication network 1006. In some examples, the locally accessible data is stored in random access memory (RAM) in the branch appliance 1010, on a hard drive in the branch appliance 1010, or both. In another example, the locally accessible data is accessible by the branch appliance 1010 over a local communication network (such as a LAN), for example, in a network attached storage (NAS) device that is internal or external to the branch office 1002, and/or in an optical or flash storage device.


The instruction to be received by the branch appliance 1010 comprises any message or signal that indicates an action to perform with the data. An instruction may indicate to the branch appliance 1010 to store the data, to retrieve the data, or to forward the data to, for example, the computers 1008. The instruction may be explicit, or may be implicit and based upon instructions indicating to store or retrieve data. In some embodiments, the instruction may indicate an index within a database for storing and retrieving the data.


The central appliance 1016 similarly comprises hardware and/or software elements configured to receive data to be sent to the computer 1008, determine whether a portion of the data is locally accessible to the branch appliance 1010, generate an instruction based on the determination, and transfer the instruction to the other appliance. The central appliance 1016 also comprises hardware and/or software elements configured to receive an instruction from another appliance (e.g., the branch appliance 1010), process the instruction to obtain the data, and transfer the data to a computer (e.g., the central servers 1014).


As illustrated, the branch appliance 1010 is located in-line between the computers 1008 and the router 1012. The central appliance 1016 is also located between the central server 1014 and the router 1018. The branch appliance 1010 and the central appliance 1016 transparently intercept network traffic between the computers 1008 and the central servers 1014. For example, the central appliance 1016 transparently intercepts data sent from the central servers 1014 and addressed to the computers 1008. The computers 1008 and the central servers 1014 advantageously require no additional configuration because the branch appliance 1010 and the central appliance 1016 operate transparently.


Alternatively, the branch appliance 1010 and the central appliance 1016 may be configured as an additional router or gateway. As a router, for example, the branch appliance 1010 appears to the computers 1008 as an extra hop before the router 1012. In some embodiments, the branch appliance 1010 and the central appliance 1016 provide redundant routing or peer routing with the router 1012 and the router 1018.


The central appliance 1016 accesses a record indicating data sent previously to the branch appliance 1010 when generating instructions. In some embodiments, the record may comprise the memory data described herein in connection with FIGS. 1-9. For example, the central appliance 1016 may locally store data sent to the branch appliance 1010. If the data is to be transferred again from the central appliance 1016 to the branch appliance 1010, the central appliance 1016 may determine that the data is locally accessible to the branch appliance 1010 and generate an instruction to the branch appliance 1010 to retrieve the data from its locally accessible memory. The central appliance 1016 sends the instruction to the branch appliance 1010 and the branch appliance 1010 processes the instruction to obtain the data. Subsequently, if the branch appliance 1010 is to transfer the same data to the central appliance 1016, the branch appliance 1010 may make a determination based on having received the data from the central appliance 1016 originally. The branch appliance 1010 determines that the data is therefore locally accessible to the central appliance 1016 and generates an instruction to the central appliance 1016 to retrieve the data and transmits it. The central appliance 1016 then processes the instruction to obtain the data. Therefore, an appliance (e.g., the branch appliance 1010 and the central appliance 1016) in the network memory architecture 1000 advantageously uses data transferred to and from the appliance to reduce network traffic with other appliances in the network memory architecture 1000. The network memory architecture 1000 is further disclosed in U.S. nonprovisional application Ser. No. 11/202,697 filed Aug. 12, 2005 entitled “Network Memory Architecture” which is incorporated by reference herein.


According to some embodiments, a central appliance 1016 may receive a data packet from the central server 1014 comprising data to be sent to the computer 1008. The central appliance 1016 may comprise RAM configured to store a copy of at least a portion of the data that is stored in the branch appliance 1010. The central appliance 1016 may compare packet data in the received data packet to the copy of the data that is stored in the branch appliance 1010 to generate a retrieve instruction. The comparison may be performed according to the systems and methods described herein in connection with FIGS. 1-9.


As described above, the central appliance 1016 may store a record of data received from the branch appliance 1010, sent to the branch appliance 1010, and/or otherwise known to be stored in the branch appliance 1010. Thus, the central appliance, through a plurality of communications with the branch appliance 1010, is configured to create a record (i.e., copy) of the data that is likely to be present in the branch appliance 1010. At least a portion of the record may be stored into RAM in the central appliance 1016. The record may serve as memory data that can be compared to packet data in the received data packets.


According to exemplary embodiments, at least a portion of the record may be stored in a slower memory in the central appliance 1016. In these embodiments, the received data packet may be pre-scanned in order to move data from the slower memory to the RAM prior to the comparison as described, for example, in connection with the prescan module 206. Thus, a comparison may still be performed between the packet data and the memory data stored in the RAM.


The central appliance 1016 may be further configured to generate the retrieval instruction as described herein. Rather than sending the entire data packet to the branch appliance 1010 via the communication network 1006, a retrieval instruction may be sent to reduce the amount of data sent over the communication network 1006. The retrieval instruction comprises commands and/or data that when executed, generate an exact or nearly exact replica of the received data packet from the data stored in the branch appliance 1010 and/or included in the retrieval instruction.


The above-described functions can be comprised of executable instructions that are stored on storage media. The executable instructions can be retrieved and executed by a processor. Some examples of executable instructions are software, program code, and firmware. Some examples of storage media are memory devices, tape, disks, integrated circuits, and servers. The executable 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 executable instructions, processor(s), and storage media.


The above description is illustrative and not restrictive. Many variations of the invention will become apparent to those of skill in the art upon review of this disclosure. The scope of the invention should, therefore, be determined not with reference to the above description, but instead should be determined with reference to the appended claims along with their full scope of equivalents.

Claims
  • 1. A method comprising: receiving packet data;comparing a first packet byte within the packet data to a first memory byte within memory data;determining a match between the first packet byte and the first memory byte;comparing a second packet byte to a second memory byte, the second packet byte being adjacent to the first matched packet byte and the second memory byte being adjacent to the first matched memory byte;determining a mismatch between the second packet byte and the second memory byte;after determining the mismatch between the second packet byte and the second memory byte, accessing a memory location containing a third memory byte, the third memory byte being non-adjacent to any matched memory byte;accessing a packet location containing a third packet byte, the third packet byte being at least two bytes from the location of the mismatched second packet byte;determining a match between the third packet byte and the third memory byte;determining that a search threshold has been met;generating instructions to reassemble the packet data from the memory data; andprocessing the instructions to reassemble the packet data based at least in part on a result of the comparison between the packet bytes and the memory bytes.
  • 2. The method of claim 1, wherein a number of packet bytes between the second packet byte and the third packet byte is equal to a number of memory bytes between the second memory byte and the third memory byte.
  • 3. The method of claim 1, wherein the search threshold is based on at least one of a percentage of a memory searched and a total number of memory bytes searched.
  • 4. The method of claim 1, further comprising determining that a match threshold between the matched packet bytes and the memory bytes is met.
  • 5. The method of claim 4, wherein the match threshold is based on at least one of a number of bytes having a match and a percentage of the bytes having a match.
  • 6. The method of claim 1, further comprising generating an insertion command to insert missing packet bytes into the memory data.
  • 7. The method of claim 1, further comprising generating a deletion command to delete memory bytes not matching the packet data.
  • 8. The method of claim 1, further comprising generating an overwrite command to replace memory bytes with packet bytes.
  • 9. The method of claim 1, wherein the memory data is stored in a faster memory in a network memory appliance.
  • 10. The method of claim 1, further comprising: pre-scanning the packet data to generate a sample fingerprint;identifying stored fingerprints identical to the sample fingerprint; andcopying the first memory byte associated with the identified stored fingerprints into the memory.
  • 11. A system comprising: a comparison module configured to compare a first packet byte within a packet data to a first memory byte within a memory data, determine a match between the first packet byte and the first memory byte, compare a second packet byte to a second memory byte, the second packet byte being adjacent to the first matched packet byte and the second memory byte being adjacent to the first matched memory byte, determine a mismatch between the second packet byte and the second memory byte, access a memory location containing a third memory byte that is non-adjacent to any matched memory byte after determining the mismatch between the second packet byte and the second memory byte, access a packet location containing a third packet byte, the third packet byte being at least two bytes from the location of the mismatched second packet byte, determine a match between the third packet byte and the third memory byte, and determine that a search threshold has been met; anda data module that generates instructions to reassemble the packet data from the memory data based at least in part on a result of the comparison between the packet bytes and the memory bytes.
  • 12. The system of claim 11, wherein a number of packet bytes between the second packet byte and the third packet byte is equal to a number of memory bytes between the second memory byte and the third memory byte.
  • 13. The system of claim 11, wherein the determination that the search threshold has been met is based on at least one of a percentage of a memory searched and a total number of memory bytes searched.
  • 14. The system of claim 11, wherein the comparison module is further configured to determine that a match threshold between the matched packet bytes and the matched the memory bytes is met.
  • 15. The system of claim 14, wherein the match threshold is based on at least one of a threshold number of bytes having a match and a percentage of the bytes having a match.
  • 16. The system of claim 11, wherein the data module is further configured to generate an insertion command to insert missing packet bytes into the memory data.
  • 17. The system of claim 11, wherein the data module is further configured to generate a deletion command to delete memory bytes not matching the packet data.
  • 18. The system of claim 11, wherein the data module is further configured to generate an overwrite command to replace memory bytes with packet bytes.
  • 19. The system of claim 11, wherein the memory data is stored in a faster memory in a network memory appliance.
  • 20. The system of claim 11, further comprising a prescan module configured to pre-scan the packet data to generate a sample fingerprint, identify stored fingerprints identical to the sample fingerprint, and copy the first memory byte associated with the identified stored fingerprints into the memory.
  • 21. A non-transitory computer readable medium having embodied thereon a program, the program being executable by a processor for performing a method for generating a retrieval instruction based on matched data, the method comprising: receiving packet data;comparing a first packet byte within the packet data to a first memory byte within memory data;determining a match between the first packet byte and the first memory byte;comparing a second packet byte to a second memory byte, the second packet byte being adjacent to the first matched packet byte and the second memory byte being adjacent to the first matched memory byte;determining a mismatch between the second packet byte and the second memory byte;after determining the mismatch between the second packet byte and the second memory byte, accessing a memory location containing a third memory byte, the third memory byte being non-adjacent to any matched memory byte;accessing a packet location containing a third packet byte, the third packet byte being at least two bytes from the location of the mismatched second packet byte;determining a match between the third packet byte and the third memory byte;determining that a search threshold for the memory has been met;generating instructions to reassemble the packet data from the memory data; andprocessing the instructions to reassemble the packet data based at least in part on a result of the comparison between the packet bytes and the memory bytes.
  • 22. The non-transitory computer readable medium of claim 21, wherein a number of packet bytes between the second packet byte and the third packet byte is equal to a number of memory bytes between the second memory byte and the third memory byte.
  • 23. The non-transitory computer readable medium of claim 21, wherein the search threshold based on at least one of a percentage of a memory searched and a total number of memory bytes searched.
  • 24. The non-transitory computer readable medium of claim 21, further comprising determining that a match threshold between the matched packet bytes and the memory bytes is met.
  • 25. The non-transitory computer readable medium of claim 24, wherein the match threshold is based on at least one of a number of bytes having a match and a percentage of the bytes having a match.
  • 26. The non-transitory computer readable medium of claim 21, wherein the method further comprises generating an insertion command to insert missing packet bytes into the memory data.
  • 27. The non-transitory computer readable medium of claim 21, wherein the method further comprises generating a deletion command to delete memory bytes not matching the packet data.
  • 28. The non-transitory computer readable medium of claim 21, wherein the method further comprises generating an overwrite command to replace memory bytes with packet bytes.
  • 29. The non-transitory computer readable medium of claim 21, wherein the memory data is stored in a faster memory in a network memory appliance.
  • 30. The non-transitory computer readable medium of claim 21, wherein the method further comprises: pre-scanning the packet data to generate a sample fingerprint;identifying stored fingerprints identical to the sample fingerprint; andcopying the first memory byte associated with the identified stored fingerprints into the memory.
CROSS-REFERENCE TO RELATED APPLICATIONS

This nonprovisional U.S. patent application is a continuation of U.S. patent application Ser. No. 14/248,229 (now U.S. Pat. No. 8,930,650) filed Apr. 8, 2014, issued Jan. 6, 2015 and entitled “Identification of Non-Sequential Data Stored in Memory,” which is a continuation of U.S. patent application Ser. No. 13/427,422 (now U.S. Pat. No. 8,738,865) filed Mar. 22, 2012, issued May 27, 2014 and entitled “Identification of Data Stored in Memory,” which in turn is a continuation of U.S. patent application Ser. No. 11/825,440 (now U.S. Pat. No. 8,171,238) filed Jul. 5, 2007, issued May 1, 2012 and entitled, “Identification of Data Stored in Memory,” which is related to U.S. patent application Ser. No. 11/825,497 (now U.S. Pat. No. 8,095,774) filed Jul. 5, 2007, issued Jan. 10, 2012 and entitled, “Pre-Fetching Data Into a Memory” and U.S. patent application Ser. No. 11/202,697 (now U.S. Pat. No. 8,370,583) filed Aug. 12, 2005, issued Feb. 5, 2013 and entitled “Network Memory Architecture for Providing Data Based on Local Accessibility.” Each of the above referenced applications is hereby incorporated by reference.

US Referenced Citations (320)
Number Name Date Kind
4494108 Langdon, Jr. et al. Jan 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
6175944 Urbanke et al. Jan 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
6434662 Greene et al. Aug 2002 B1
6438664 McGrath et al. Aug 2002 B1
6452915 Jorgensen Sep 2002 B1
6489902 Heath Dec 2002 B2
6587985 Fukushima et al. Jul 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
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
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
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
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
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
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
8473714 Hughes et al. Jun 2013 B2
8489562 Hughes et al. Jul 2013 B1
8565118 Shukla et al. Oct 2013 B2
8595314 Hughes Nov 2013 B1
8613071 Day et al. Dec 2013 B2
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
20010054084 Kosmynin Dec 2001 A1
20020007413 Garcia-Luna-Aceves 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
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
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
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
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
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
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
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
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
20060059171 Borthakur et al. Mar 2006 A1
20060059173 Hirsch et al. Mar 2006 A1
20060117385 Mester et al. 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
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
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
20070174428 Lev Ran et al. Jul 2007 A1
20070195702 Yuen et al. Aug 2007 A1
20070198523 Hayim Aug 2007 A1
20070226320 Hager et al. Sep 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
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
20080229137 Samuels et al. Sep 2008 A1
20080243992 Jardetzky et al. Oct 2008 A1
20080267217 Colville et al. Oct 2008 A1
20080313318 Vermeulen et al. Dec 2008 A1
20080320151 McCanne et al. Dec 2008 A1
20090024763 Stepin et al. Jan 2009 A1
20090060198 Little Mar 2009 A1
20090063696 Wang et al. Mar 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
20090234966 Samuels et al. Sep 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
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
20100225658 Coleman 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
20110154329 Arcese et al. Jun 2011 A1
20110219181 Hughes et al. Sep 2011 A1
20110276963 Wu et al. Nov 2011 A1
20120036325 Mashtizadeh et al. Feb 2012 A1
20120173759 Agarwal et al. Jul 2012 A1
20120221611 Watanabe et al. Aug 2012 A1
20120239872 Hughes et al. Sep 2012 A1
20130044751 Casado et al. Feb 2013 A1
20130080619 Assuncao et al. Mar 2013 A1
20130086236 Baucke et al. Apr 2013 A1
20130094501 Hughes Apr 2013 A1
20130117494 Hughes et al. May 2013 A1
20130121209 Padmanabhan et al. May 2013 A1
20130263125 Shamsee et al. Oct 2013 A1
20130282970 Hughes et al. Oct 2013 A1
20140052864 Van Der Linden et al. Feb 2014 A1
20140123213 Vank et al. May 2014 A1
20140181381 Hughes et al. Jun 2014 A1
20140379937 Hughes et al. Dec 2014 A1
Foreign Referenced Citations (3)
Number Date Country
1507353 Feb 2005 EP
H05-061964 Mar 1993 JP
WO0135226 May 2001 WO
Non-Patent Literature Citations (22)
Entry
“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.
“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”, 1996, <http://www.lancache.com/slcdata.htm>.
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.
Related Publications (1)
Number Date Country
20150074361 A1 Mar 2015 US
Continuations (3)
Number Date Country
Parent 14248229 Apr 2014 US
Child 14548195 US
Parent 13427422 Mar 2012 US
Child 14248229 US
Parent 11825440 Jul 2007 US
Child 13427422 US