DocumentCode :
29346
Title :
Practical Multituple Packet Classification Using Dynamic Discrete Bit Selection
Author :
Baohua Yang ; Fong, Johnson ; Weirong Jiang ; Yibo Xue ; Jun Li
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume :
63
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
424
Lastpage :
434
Abstract :
Multituple packet classification is one of the key technologies, and often the performance bottleneck in modern network devices. Devices such as firewalls demand fast packet classification on very complicated rule sets of large size, which is still challenging today. This paper proposes a practical packet classification algorithm named dynamic discrete bit selection (D2 BS), which achieves high classification speed while requiring low storage. D2 BS employs dynamic heuristic schemes at bit level, to explore the inherent characteristics of the rule sets. D2BS has been implemented on various platforms including Intel-architecture, multicore network processor, and FPGA, and is compared with the state-of-the-art solutions. Experimental results on real-life rule sets show that the memory storage required by D2BS is at least one to two orders of magnitude lower than that of the existing work, while the speed is much higher. With 64-byte Ethernet packet and 10K size ACL rule set, D2BS achieves a throughput over 10 Gbps on Cavium OCTEON CN5860 multicore network processor and over 135 Gbps on Xilinx Virtex-5 FPGA, which outperforms the existing work under the same test environment. All results promise that D2BS is a highly practical solution to satisfy vigorous requirements.
Keywords :
field programmable gate arrays; local area networks; multiprocessing systems; pattern classification; storage management; ACL rule set; Cavium OCTEON CN5860 multicore network processor; D2BS; Ethernet packet; Intel-architecture; Xilinx Virtex-5 FPGA; dynamic discrete bit selection; dynamic heuristic schemes; firewalls; memory storage; modern network devices; multituple packet classification; performance bottleneck; Algorithm design and analysis; Complexity theory; Heuristic algorithms; Memory management; Partitioning algorithms; Performance evaluation; Scalability; Algorithm design and analysis; Complexity theory; Heuristic algorithms; Memory management; Packet classification; Partitioning algorithms; Performance evaluation; Scalability; high-performance network; quality of service;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.2012.191
Filename :
6257369
Link To Document :
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