DocumentCode
2499934
Title
Efficient TCAM Encoding Schemes for Packet Classification Using Gray Code
Author
Chang, Yeim-Kuan ; Su, Cheng-Chien
Author_Institution
Nat. Cheng Kung Univ., Tainan
fYear
2007
fDate
26-30 Nov. 2007
Firstpage
1834
Lastpage
1839
Abstract
Packet classification is an enabling function in Internet routers for a variety of Internet applications. In order to classify Internet packets into flows, Internet routers must perform searches over a set of filters using multiple fields of the packet as the search key. Because of its speed and simple filter management the Ternary Content Addressable Memory (TCAM) is currently the dominant hardware solution for IP lookups, i.e., a one-dimensional packet classification. To make TCAM the solution for the multi-dimensional packet classification, efficient methods that store the range fields of the classification tables in TCAM are needed. In this paper, we propose a set of novel range encoding schemes based on Gray code. Many range-encoding techniques are used to improve the existing elementary interval- based range encoding schemes. The present experiment´s results show that the proposed Gray code-based schemes consume less TCAM storage space than the existing schemes.
Keywords
Gray codes; IP networks; Internet; computer network management; content-addressable storage; pattern classification; table lookup; telecommunication network routing; Gray code; IP lookups; Internet packet classification; Internet routers; TCAM encoding schemes; filter management; multidimensional packet classification; range encoding techniques; ternary content addressable memory; Associative memory; Encoding; Energy consumption; Hardware; Information filtering; Information filters; Internet; Matched filters; Reflective binary codes; Scalability;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location
Washington, DC
Print_ISBN
978-1-4244-1042-2
Electronic_ISBN
978-1-4244-1043-9
Type
conf
DOI
10.1109/GLOCOM.2007.353
Filename
4411263
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