This application is related to a co-pending U.S. patent application Ser. No. 12/242,172, entitled “Methods and Apparatus for Packet Classification Based on Policy Vectors,” filed on Sep. 30, 2008, which is incorporated herein by reference in its entirety.
Embodiments described herein relate generally to packet classification, and, in particular, to packet classification at a multi-stage switch.
A data packet received at a network device can be processed based on one or more policies established by, for example, a network administrator. Any processing performed so that the data packet can be subsequently processed at the network device based on a policy can be referred to as packet classification. Packet classification can include, for example, associating the data packet with an appropriate policy from a library of policies based on information included in the data packet such as an address value and/or a port value. A packet classification scheme can be used to, for example, distinguish and route groups of data packets within a firewall or through a switch fabric associated with a multi-stage switch.
Known packet classification schemes, such as those based on Ternary Content Addressed Memories (TCAMs) or software algorithms, can have power requirements, chip area requirements, and/or storage requirements that may be undesirable in some applications. For example, known software packet classification algorithms that rely on relatively large data structures resident in external memory (external to a processing chip) may have memory bandwidth limitations that can make their use in very high speed switches and routers impractical. Power consumption requirements and/or inefficient chip designs associated with some known packet classification schemes may substantially prevent scaling of these packet classification schemes, for example, for use in a complex routing system such as a data center.
Thus, a need exists for methods and apparatus for packet classification that have desirable power, chip area, and/or storage characteristics.
In one embodiment, an apparatus can include a policy vector module configured to retrieve a compressed policy vector based on a portion of a data packet received at a multi-stage switch. The apparatus can also include a decompression module configured to receive the compressed policy vector and configured to define a decompressed policy vector based on the compressed policy vector. The decompressed policy vector can define a combination of bit values associated with a policy.
A packet classification module at a multi-stage switch can be configured to classify a data packet (e.g., an Internet Protocol (IP) packet, a session control protocol packet, a media packet) received at the multi-stage switch from a network entity. Classifying can include any processing performed so that the data packet can be processed at the multi-stage switch based on a policy. In some embodiments, the policy can include one or more policy conditions that are associated with an instruction that can be executed at the multi-stage switch. The policy can be, for example, a policy to route a data packet to a particular destination (instruction) if the data packet has a specified type of network address (policy condition). Packet classification can include determining whether or not the policy condition has been satisfied so that the instruction can be executed. For example, one or more portions (e.g., a field, a payload, an address portion, a port portion) of the data packet can be analyzed by the packet classification module based on a policy condition defined within a policy. When the policy condition is satisfied, the data packet can be processed based on an instruction associated with the policy condition.
In some embodiments, a data packet can be associated with a policy vector that can include one or more bit values that represent whether or not a policy condition associated with a policy has been satisfied based on processing of a portion of the data packet. The policy vector can be used to trigger processing of the data packet at the multi-stage switch based on an instruction associated with the policy (when the bit value(s) indicate that the policy condition has been satisfied). In some embodiments, a policy vector can be referred to as a facet cover vector.
In some embodiments, a policy condition can be related to a prefix length of an address value and/or a range of port values. The policy condition can be satisfied, for example, when a port value included in a data packet falls within a specified range of port values. In some embodiments, this type of policy condition can be referred to as a match condition or as a filter condition. In some embodiments, an instruction associated with a policy condition can be related to, for example, routing of a data packet through a switch fabric of a multi-stage switch.
The packet classification module (including any sub-modules and/or memory) can be implemented in hardware. For example, sub-modules of the packet classification module that are configured to process the data packet based on one or more policy conditions associated with a policy can be implemented in hardware. In addition, modules that are configured to execute an instruction associated with a policy can be implemented in hardware and can be included in a packet classification. In some embodiments, the packet classification module (including sub-modules and memory) can be integrated on a single (or common) semiconductor chip. In some embodiments, one or more portions of the packet classification module can be implemented in software, or implemented in a combination of hardware and software.
In some embodiments, the process of classifying a data packet can be referred to as classification. In some embodiments, a portion of a multi-stage switch can be configured to trigger another portion of the multi-stage switch to execute an instruction associated with a policy. In some embodiments, a multi-stage switch can be configured to trigger, based on a policy vector, execution of an instruction at a separate entity. In some embodiments, a data packet can be processed based on a policy that is associated with a group of data packets. In some embodiments, the group of data packets can be referred to as a data packet flow or as a flow.
In some embodiments, a vector, such as the policy vector, can be a binary string defined by, for example, a sequence of high values (represented as 1's) and/or low values (represented as 0's). The values in the binary string can be referred to as bit values. In other words, the vector can define a sequence of bit values. In some embodiments, for example, if a packet classification module is implemented in a hardware system that is a base-n system (e.g., a base-4 system), a vector processed by the packet classification module can be a base-n string. In some embodiments, the vector can be defined as a one-dimensional array. In some embodiments, for example, if a packet classification module is implemented in software, a vector processed by the packet classification module can be a string that includes a sequence of symbols (e.g., American Standard Code for Information Interchange (ASCII) characters) and/or digits. For example, the vector can be a byte string or a hexadecimal value.
The packet classification module 102 can be configured to receive a data packet from at least one of the network entities 180, which include network entity 110, network entity 120, and network entity 130, and is configured to classify the data packet so that the data packet can be processed based on a policy. The policy can include one or more policy conditions associated with an instruction that can be executed at the multi-stage switch 100. One or more portions of the data packet can be analyzed by the packet classification module 102 based on a policy condition (e.g., a match condition) associated with a policy. The data packet can be processed by a packet processing module 104 based on an instruction associated with the policy condition when the policy condition is satisfied. In some embodiments, the packet processing module 102 can execute one or more portions of the instruction associated with the policy and/or can trigger another entity (not shown) to execute one or more portions of the instruction associated with the policy. In some embodiments, processing of a data packet based on the instruction can include, for example, logging information related to the data packet, verifying information at the multi-stage switch 100, forwarding the data packet to a specific destination such as one of the network entities 180, dropping the data packet (or a related data packet), routing a portion of a data packet flow associated with the data packet through switch fabric 106 of the multi-stage switch 100, and so forth.
In some embodiments, the packet classification module 102 can be configured to define (e.g., produce) a policy vector based on one or more portions of a data packet. The policy vector can include one or more bit values that represent whether or not a policy condition associated with a policy has been satisfied based on the portion(s) of the data packet. The policy vector can be used by the packet processing module 104 to process the data packet and/or to trigger processing of the data packet at the multi-stage switch 100, based on an instruction associated with the policy (when the bit value(s) indicate that the policy condition has been satisfied). In some embodiments, the policy vector can be a decompressed policy vector that has been defined based on a compressed policy vector. More details related to compression and decompression of policy vectors are discussed in connection with
As shown in
In some embodiments, each of the network entities 180 (e.g., network entity 110) can be a wired device and/or a wireless device and can be, for example, a computing entity (e.g., a personal computing device), a mobile phone, a personal digital assistant (PDA), and/or a server (e.g., a web server/host). In some embodiments, each of the network entities 180 can function as a source device and/or as a destination device. Each of the network entities 180 can be configured to operate based on one or more platforms that can include one or more types of hardware, software, operating systems, runtime libraries, and so forth. The network 170 can be, for example, a virtual network, a local area network (LAN) and/or a wide area network (WAN) and can include one or more wired and/or wireless segments.
The packet classification module 102 and/or the packet processing module 104 can be a hardware-based module (e.g., a processor, an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA)). In other words, the packet classification module 102 and/or the packet processing module 104 can be implemented entirely in hardware. In some embodiments, the entire packet classification module 102 (including look-up tables associated with the packet classification module 102) and/or the packet processing module 104 can be integrated on one or more semiconductor chips that can have one or more substrates. In some embodiments, one or more portions of the packet classification module 102 and/or the packet processing module 104 can be implemented in software (e.g., a set of instructions executable at a processor, a software application). In some embodiments, one or more portions (e.g., operations, functions) of the packet classification module 102 and/or the packet processing module 104 can implemented in a combination of hardware and software.
After the compress policy vector 14 has been retrieved, the compressed policy vector 14 can be decompressed by a decompression module 270 into a decompressed policy vector 16. In other words, the compressed policy vector 14 can be processed by decompression module 270 based on a decompression algorithm to define a decompressed policy vector 16. The decompressed policy vector 16 can be used by the packet processing module 290 to trigger and/or perform processing associated with the data packet 11 based on an instruction retrieved from, for example, an instruction database. The policy condition used to retrieve the compressed policy vector 14 and the instruction can be associated with (e.g., defined within) a policy. In some embodiments, the instruction database can be included in the packet processing module 290.
The key vector module 240 can be configured to parse (e.g., extract) bit values associated with certain portions of the data packet 11 to define the key vector 12. In other words, the key vector module 240 can be configured to parse a portion from the data packet 11 received at the packet classification module 230 and can use that portion to produce the key vector 12. In some embodiments, the key vector 12 can be defined based on portions of the data packet 11 that have been modified by the key vector module 240 or are unmodified.
In some embodiments, the key vector module 240 can be configured to define and include additional bit values (or strings) in the key vector 12. In some embodiments, the additional bit values can be default bit values and/or padding (e.g., zero padding). In some embodiments, for example, the key vector 12 can be defined based on additional bit values appended to, intermingled with, and/or logically combined with a portion of the data packet 11. In some embodiments, the key vector 12 can have a specified quantity of bit values, such as, for example, a 1 bit width, a 72 bit width, or a 400 bit width. An example of a key vector defined based on a data packet is described in connection with
As shown in
Referring back to
As shown in
In some embodiments, the policy vector module 250 can be configured to process the key vector 12 based on, for example, a hash-based search function (also can be referred to as a hash function), a trie-based search function, a look-up table search function (e.g., a direct look-up table search function), and/or a node-based search function (also can be referred to linked-node function). More details related to hash functions and hash function processing within a packet classification module are set forth in co-pending U.S. patent application Ser. No. 12/242,154, filed on Sep. 30, 2008, entitled “Methods and Apparatus Related to Packet Classification Based on Range Values,” and co-pending U.S. patent application Ser. No. 12/242,158, filed on Sep. 30, 2008, entitled “Methods and Apparatus for Producing a Hash Value Based on a Hash Function,” both of which are incorporated herein by reference in their entireties. More details related to node-based functions are provided in co-pending U.S. patent application Ser. No. 12/242,125, filed on Sep. 30, 2008, entitled “Methods and Apparatus for Range Matching During Packet Classification Based on a Linked-Node Structure,” which is incorporated herein by reference in its entirety.
In some embodiments, the memory 470 can be any type of memory such as a read-only memory (ROM) or a random-access memory (RAM). In some embodiments, the policy vector database 460 can be a look-up table (LUT) or a memory array. In some embodiments, the policy vector database 460 can be a relational database. Because the policy vectors stored in the policy vector database 460 are compressed policy vectors 464, the memory 470 can be relatively small and can be integrated with a policy vector module (not shown) on a single (or common) semiconductor chip. In some embodiments, the compressed policy vectors 464 can be compressed based on a pattern compression scheme and/or a run-length compression scheme.
Referring back to
The compressed policy vector 14 can be processed based on a codec to define the decompressed policy vector 16. The codec can also be used to define the compressed policy vector 14 based on the decompressed policy vector 16. For example, if the compressed policy vector 14 was defined (e.g., compressed) based on a pattern and run-length codec, the decompressed policy vector 16 can be defined (e.g., decompressed) from the compressed policy vector 14 based on the same pattern and run-length codec.
In some embodiments, the compressed policy vector 14 can have a number of bit values that is at least an order of magnitude smaller than a number of bit values included in the decompressed policy vector 16. For example, the compressed policy vector 14 can have a bitwise width of 32 bits and the decompressed policy vector 16 can have a bitwise width of 2048 bits (2K bits). More details related to compression and decompression of policy vectors are set for in co-pending U.S. patent application Ser. No. 12/242,143, filed Sep. 30, 2008, entitled, “Methods and Apparatus for Compression in Packet Classification,” which is incorporated herein by reference in its entirety.
In some embodiments, the packet processing module 290 can be integrated into the packet classification module 230. For example, although not shown, a packet processing module can be included within the same semiconductor chip as a packet classification module implemented in hardware. In some embodiments the packet processing module 290 can be an element included in a multi-stage switch (not shown) and can be associated with a switch fabric (not shown) of the multi-stage switch.
As shown in the decompress policy vector 510 in
In some embodiments, a combination of bit values (e.g., binary values of 1's and/or 0's) within the policy vector can represent whether or not a policy condition associated with one or more instructions has been satisfied. In other words, a sequence of bit values including more than one bit value can represent that a policy condition associated with an instruction has been satisfied. Accordingly, the sequence of bit values within the policy vector can trigger execution of an instruction. In some embodiments, a single bit value within the policy vector can represent that a policy condition associated with more than one instruction has been satisfied. In some embodiments, the single bit value within the policy vector can be used to trigger execution of the instructions.
A key vector is defined based on a portion of the data packet at 610. In some embodiments, the key vector can be defined based on a field from the data packet. In some embodiments, the key vector can be defined based on another data packet from a flow of data packets associated with the data packet. In some embodiments, the key vector can be defined based on a combination of portions of data packets from a flow of data packets associated with the data packet.
A compressed policy vector is produced based on the key vector at 620. In some embodiments, the compressed policy vector can be selected from a policy database based on processing of the key vector. In some embodiments, the key vector can be processed based on a hash-based search function, a trie-based search function, a look-up table search function, and/or a node-based search function. The hash-based search function, a trie-based search function, a look-up table search function, and/or the node-based search function can be implemented, for example, in hardware within a packet classification module.
A decompressed policy vector is defined based on the compressed policy vector at 630. The compressed policy vector can be used to define the decompressed policy vector based on a decompression algorithm associated with a codec. In some embodiments, the decompression algorithm can be implemented in hardware within a packet classification module.
The data packet is processed at the multi-stage switch based on the decompressed policy vector at 640. Specifically, one or more of the bit values within the decompressed policy vector can be configured to trigger an element of the multi-stage switch to process the data packet. For example, a bit value within the decompressed policy vector can be configured to trigger the multi-stage stage to forward the data packet (and/or a flow of data packet associated with the data packet) to a destination entity via a switch fabric associated with the multi-stage switch. In some embodiments, a bit value within the decompressed policy vector can be configured to, for example, trigger the multi-stage switch to drop the packet or log information related to the data packet.
As shown in
The key vector module 740 is configured to define a key vector KVA based on portion 61 of the data packet 62. The key vector KVA can be used by the policy vector module 750 to retrieve a compressed policy vector CPVA from the policy vector database 760. In some embodiments, the policy vector module 750 can process the key vector KVA to define an index value; the policy vector module 750 can then retrieve the compressed policy vector CPVA from the policy vector database 760 based on the index value. Although not shown, the policy vector database 760 can be stored in a memory. A decompressed policy vector DPVA can be defined at the decompression module 770 based on the compressed policy vector CPVA.
Portion 63 of the data packet 62 can similarly be processed through the processing pipeline. The key vector module 740 can be configured to produce a key vector KVB based on the portion 63 of the data packet 62. The key vector KVB can be used by the policy vector module 750 to retrieve the compressed policy vector CPVB from the policy vector database 760, and a decompressed policy vector DPVB can be defined at the decompression module 770 based on the compressed policy vector CPVB.
In this embodiment, the key vectors KVA and KVB are different. In some embodiments, portion 61 of the data packet 62 and portion 63 of the data packet 62 can be mutually exclusive portions of the data packet 62. Although not shown, in some embodiments, the different key vectors KVA and KVB can be defined based on the same portion (or overlapping portions) of the data packet 62. In some embodiments, data packet 62 can be associated with a flow of data packets (not shown). Although not shown, in some embodiments, key vector KVA and/or key vector KVB can be defined based a portion of the flow of data packets.
As shown in
In some embodiments, the decompressed policy vector DPVA, the decompressed policy vector DPVB, and/or the combined policy vector 64 can have different sequences of bit values. In other words, two or more of the decompressed policy vector DPVA, the decompressed policy vector DPVB, and the combined policy vector 64 can have different set bit values that can each be associated with different instructions. In some embodiments, two or more of the decompressed policy vector DPVA, the decompressed policy vector DPVB, and the combined policy vector 64 can have similar or identical sequences of bit values. In some embodiments, two or more of the decompressed policy vector DPVA, the decompressed policy vector DPVB, and the combined policy vector 64 can have different bitwise lengths.
In some embodiments, portion 61 of the data packet 62 and portion 63 of the data packet 62 can be processed through the pipeline serially. For example, portion 61 of the data packet 62 can be processed through the processing pipeline before portion 63 of the data packet 62 is processed through the processing pipeline, and vice versa. In some embodiments, portion 61 of data packet 62 and portion 63 of the data packet 62 can be processed serially through one or more of the modules of the packet classification module 730. For example, portion 61 of data packet 62 can be processed at the key vector module 740 directly after portion 63 of the data packet 62 has finished processed at the key vector module 740.
In some embodiments, portion 61 of the data packet 62 and portion 63 of the data packet 62 can be processed through the processing pipeline in parallel. For example, portion 61 of the data packet 62 and portion 63 of the data packet 62 can be processed via different parallel portions (e.g., different hardware portions, or mutually exclusive hardware portions) of the modules included in the packet classification module 730. More details related to parallel processing at a packet classification module are described in connection with
A first policy vector is produced (e.g., defined) based on a first portion of the data packet at 810. The first policy vector can be produced based on processing of the first portion of the data packet via a processing pipeline of a classification module. The processing pipeline can include a key vector module, a policy vector module (and/or policy vector database), a decompression module, and/or a combination module.
A second policy vector is produced (e.g., defined) based on a second portion of the data packet at 820. The second policy vector can be produced based on processing of the second portion of the data packet via the processing pipeline of the classification module. In some embodiments, the first portion of the data packet and the second portion of the data packet can be processed via portions of the processing pipeline serially or in parallel. In some embodiments, the first portion of the data packet and the second portion of the data packet can be processed via some portions of the processing pipeline serially and via other portions of the processing pipeline in parallel. The second portion of the data packet can be different than the first portion of the data packet. In some embodiments, the second policy vector can be different than or the same as the first policy vector.
A combined policy vector is defined based on a combination of the first policy vector and the second policy vector at 830. In some embodiments, the first policy vector and/or the second policy vector can be decompressed policy vectors. In some embodiments, the combined policy vector can be defined based on a bitwise combination of at least a portion of the first policy vector and at least a portion of the second policy vector. In some embodiments, at least a portion of the first policy vector and at least a portion of the second policy vector can be combined based on a function (e.g., an algorithm). In some embodiments, the combined policy vector can be defined based on a concatenation of at least a portion of the first policy vector and at least a portion of the second policy vector.
As shown in
The address key vector 81 can be processed via a hash-based search function module 952 of a policy vector module 950 so that a compressed address policy vector 83 can be selected and retrieved from the policy vector database 954. One or more policy conditions associated with a policy (or policies) can be integrated into (e.g., encoded within) and applied by the hash-based search function module 952. The port policy vector 82 can be processed at a node-based search function module 956 so that a compressed port policy vector 84 can be selected and retrieved from the policy vector database 954. One or more policy conditions associated with a policy (or policies) can be integrated into (e.g., encoded within) and applied by the node-based search function module 956.
Although the policy vector database 954 is shown as a single database, in some embodiments, the policy vector database 954 can be stored in more than one separate database. For example, the node-based search function module 956 can be configured to access (e.g., use) a first policy vector database (not shown) and the hash-based search function module 952 can be configured to access (e.g., use) a second policy vector database (not shown) separate from the first policy vector database. In some embodiments, the policy vector database 954 can be stored in a memory (not shown). In some embodiments, the memory can be integrated into a semiconductor chip as part of the packet classification module 930 or can be an external memory. In some embodiments, the policy vector database 954 can be implemented in hardware within the packet classification module 930.
The compressed address policy vector 83 and the compressed port policy vector 84 are both decompressed at the decompression module 960. In some embodiments, the compressed address policy vector 83 and the compressed port policy vector 84 can be processed via mutually exclusive hardware portions of the decompression module 960.
As shown in
The combined policy vector 87 is defined at the combination module 970 based on a bitwise “and” combination of the decompressed address policy vector 85 and the decompressed port policy vector 86. Although not shown, in some embodiments, the combined policy vector 87 can be defined based on a different logical operation such as an exclusive—or operation or a complex logical operation that includes multiple gate types (e.g., an “or” gate) and/or an algorithm.
As shown in
In some embodiments, each of the components (e.g., modules) within the packet classification module 930 can be implemented in hardware within one or more semiconductor chips. In some embodiments, the packet processing module 980 can be integrated with the packet classification module 930 on a single integrated chip.
Some embodiments described herein relate to a computer storage product with a computer-readable medium (also can be referred to as a processor-readable medium) having instructions or computer code thereon for performing various computer-implemented operations. The media and computer code (also can be referred to as code) may be those designed and constructed for the specific purpose or purposes. Examples of computer-readable media include, but are not limited to: magnetic storage media such as hard disks, floppy disks, and magnetic tape; optical storage media such as Compact Disc/Digital Video Discs (CD/DVDs), Compact Disc-Read Only Memories (CD-ROMs), and holographic devices; magneto-optical storage media such as optical disks; carrier wave signal processing modules; and hardware devices that are specially configured to store and execute program code, such as Application-Specific Integrated Circuits (ASICs), Programmable Logic Devices (PLDs), and Read-Only Memory (ROM) and Random-Access Memory (RAM) devices.
Examples of computer code include, but are not limited to, micro-code or micro-instructions, machine instructions, such as produced by a compiler, code used to produce a web service, and files containing higher-level instructions that are executed by a computer using an interpreter. For example, embodiments may be implemented using Java, C++, or other programming languages (e.g., object-oriented programming languages) and development tools. Additional examples of computer code include, but are not limited to, control signals, encrypted code, and compressed code.
While various embodiments have been described above, it should be understood that they have been presented by way of example only, not limitation, and various changes in form and details may be made. Any portion of the apparatus and/or methods described herein may be combined in any combination, except mutually exclusive combinations. The embodiments described herein can include various combinations and/or sub-combinations of the functions, components and/or features of the different embodiments described. For example, in some embodiments, a policy vector database can be configured to store decompressed policy vectors. In such cases, a decompression module would not need to be included as a component in a packet classification module. In some embodiments, for example, one or more combined policy vectors can be defined based on N compressed (and/or decompressed) policy vectors.
Number | Name | Date | Kind |
---|---|---|---|
4215402 | Mitchell et al. | Jul 1980 | A |
5473607 | Hausman et al. | Dec 1995 | A |
5495476 | Kumar | Feb 1996 | A |
6073160 | Grantham et al. | Jun 2000 | A |
6157955 | Narad et al. | Dec 2000 | A |
6212184 | Venkatachary et al. | Apr 2001 | B1 |
6226629 | Cossock | May 2001 | B1 |
6266705 | Ullum et al. | Jul 2001 | B1 |
6457058 | Ullum et al. | Sep 2002 | B1 |
6587466 | Bhattacharya et al. | Jul 2003 | B1 |
6600741 | Chrin et al. | Jul 2003 | B1 |
6600744 | Carr et al. | Jul 2003 | B1 |
6618397 | Huang | Sep 2003 | B1 |
6654373 | Maher, III et al. | Nov 2003 | B1 |
6658482 | Chen et al. | Dec 2003 | B1 |
6665274 | Yamada | Dec 2003 | B1 |
6675163 | Bass et al. | Jan 2004 | B1 |
6721316 | Epps et al. | Apr 2004 | B1 |
6731631 | Chang et al. | May 2004 | B1 |
6731644 | Epps et al. | May 2004 | B1 |
6735670 | Bronstein et al. | May 2004 | B1 |
6754662 | Li | Jun 2004 | B1 |
6778532 | Akahane et al. | Aug 2004 | B1 |
6778546 | Epps et al. | Aug 2004 | B1 |
6778984 | Lu et al. | Aug 2004 | B1 |
6789118 | Rao | Sep 2004 | B1 |
6813243 | Epps et al. | Nov 2004 | B1 |
6859455 | Yazdani et al. | Feb 2005 | B1 |
6862278 | Chang et al. | Mar 2005 | B1 |
6889225 | Cheng et al. | May 2005 | B2 |
6917946 | Corl, Jr. et al. | Jul 2005 | B2 |
6925085 | Krishna et al. | Aug 2005 | B1 |
6940862 | Goudreau | Sep 2005 | B2 |
6947931 | Bass et al. | Sep 2005 | B1 |
6977930 | Epps et al. | Dec 2005 | B1 |
7042878 | Li | May 2006 | B2 |
7089240 | Basso et al. | Aug 2006 | B2 |
7133400 | Henderson et al. | Nov 2006 | B1 |
7136926 | Iyer et al. | Nov 2006 | B1 |
7173931 | Chao et al. | Feb 2007 | B2 |
7190696 | Manur et al. | Mar 2007 | B1 |
7193997 | Van Lunteren et al. | Mar 2007 | B2 |
7227842 | Ji et al. | Jun 2007 | B1 |
7233568 | Goodman et al. | Jun 2007 | B2 |
7233579 | Crump et al. | Jun 2007 | B1 |
7277429 | Norman et al. | Oct 2007 | B2 |
7325074 | McRae | Jan 2008 | B2 |
7349415 | Rangarajan et al. | Mar 2008 | B2 |
7356033 | Basu et al. | Apr 2008 | B2 |
7369561 | Wybenga et al. | May 2008 | B2 |
7373345 | Carpentier et al. | May 2008 | B2 |
7382637 | Rathnavelu et al. | Jun 2008 | B1 |
7382777 | Irish et al. | Jun 2008 | B2 |
7382876 | Lauter et al. | Jun 2008 | B2 |
7383244 | Bass et al. | Jun 2008 | B2 |
7394809 | Kumar et al. | Jul 2008 | B2 |
7403524 | Hill | Jul 2008 | B2 |
7403526 | Zou et al. | Jul 2008 | B1 |
7418505 | Lim et al. | Aug 2008 | B2 |
7441268 | Remedios | Oct 2008 | B2 |
7480302 | Choi | Jan 2009 | B2 |
7543052 | Cesa | Jun 2009 | B1 |
7602787 | Cheriton | Oct 2009 | B2 |
7610330 | Quinn et al. | Oct 2009 | B1 |
7646771 | Guru et al. | Jan 2010 | B2 |
7668160 | Narayan et al. | Feb 2010 | B2 |
7738454 | Panwar et al. | Jun 2010 | B1 |
20020138648 | Liu | Sep 2002 | A1 |
20020152209 | Merugu et al. | Oct 2002 | A1 |
20020191605 | Lunteren et al. | Dec 2002 | A1 |
20030023846 | Krishna et al. | Jan 2003 | A1 |
20030030575 | Frachtenberg et al. | Feb 2003 | A1 |
20030053460 | Suda et al. | Mar 2003 | A1 |
20030059045 | Ruehle | Mar 2003 | A1 |
20030156586 | Lee et al. | Aug 2003 | A1 |
20030219017 | Davis et al. | Nov 2003 | A1 |
20030223424 | Anderson et al. | Dec 2003 | A1 |
20030233516 | Davis et al. | Dec 2003 | A1 |
20040015599 | Trinh et al. | Jan 2004 | A1 |
20040028046 | Govindarajan et al. | Feb 2004 | A1 |
20040095936 | O'Neill et al. | May 2004 | A1 |
20040100950 | Basu et al. | May 2004 | A1 |
20040100959 | Relan | May 2004 | A1 |
20040190526 | Kumar et al. | Sep 2004 | A1 |
20040254909 | Testa | Dec 2004 | A1 |
20040258067 | Irish et al. | Dec 2004 | A1 |
20040264373 | Engbersen et al. | Dec 2004 | A1 |
20050083935 | Kounavis et al. | Apr 2005 | A1 |
20050141510 | Narsinh et al. | Jun 2005 | A1 |
20050226235 | Kumar et al. | Oct 2005 | A1 |
20050232261 | Wybenga et al. | Oct 2005 | A1 |
20050237938 | Corl Jr., et al. | Oct 2005 | A1 |
20060050690 | Epps et al. | Mar 2006 | A1 |
20060083247 | Mehta | Apr 2006 | A1 |
20060195896 | Fulp et al. | Aug 2006 | A1 |
20060218167 | Bosley et al. | Sep 2006 | A1 |
20060221954 | Narayan et al. | Oct 2006 | A1 |
20060221956 | Narayan et al. | Oct 2006 | A1 |
20060221967 | Narayan et al. | Oct 2006 | A1 |
20070008962 | Basu et al. | Jan 2007 | A1 |
20070070900 | Heink et al. | Mar 2007 | A1 |
20070071233 | Zak | Mar 2007 | A1 |
20070115986 | Shankara | May 2007 | A1 |
20070133593 | Shankara | Jun 2007 | A1 |
20070234005 | Erlingsson et al. | Oct 2007 | A1 |
20070283045 | Nguyen et al. | Dec 2007 | A1 |
20080177812 | Brandle | Jul 2008 | A1 |
20080186974 | Singh et al. | Aug 2008 | A1 |
20080228798 | Van Lunteren | Sep 2008 | A1 |
20090196297 | Jabr | Aug 2009 | A1 |
20100040067 | Hao et al. | Feb 2010 | A1 |
20100080224 | Panwar et al. | Apr 2010 | A1 |
Number | Date | Country | |
---|---|---|---|
20100083345 A1 | Apr 2010 | US |