DocumentCode
1682551
Title
Energy efficient packet classification hardware accelerator
Author
Kennedy, Alan ; Wang, Xiaojun ; Liu, Bin
Author_Institution
Sch. of Electron. Eng., Dublin City Univ., Dublin
fYear
2008
Firstpage
1
Lastpage
8
Abstract
Packet classification is an important function in a router´s line-card. Although many excellent solutions have been proposed in the past, implementing high speed packet classification reaching up to OC-192 and even OC-768 with reduced cost and low power consumption remains a challenge. In this paper, the HiCut and HyperCut algorithms are modified making them more energy efficient and better suited for hardware acceleration. The hardware accelerator has been tested on large rulesets containing up to 25,000 rules, classifying up to 77 Million packets per second (Mpps) on a Virtex5SX95T TPGA and 226 Mpps using 65 nm ASIC technology. Simulation results show that our hardware accelerator consumes up to 7,773 times less energy compared with the unmodified algorithms running on a StrongARM SA-1100 processor when classifying packets. Simulation results also indicate ASIC implementation of our hardware accelerator can reach OC- 768 throughput with less power consumption than TCAM solutions.
Keywords
network routing; pattern classification; power aware computing; HiCut; HyperCut algorithms; StrongARM SA-1100 processor; Virtex5SX95T TPGA; energy efficient packet classification hardware accelerator; Acceleration; Application specific integrated circuits; Classification algorithms; Clocks; Costs; Energy consumption; Energy efficiency; Hardware; Telecommunication traffic; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on
Conference_Location
Miami, FL
ISSN
1530-2075
Print_ISBN
978-1-4244-1693-6
Electronic_ISBN
1530-2075
Type
conf
DOI
10.1109/IPDPS.2008.4536216
Filename
4536216
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