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The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l
A Memory Efficient, 100 Gb/sec MAC Classification Engine
Sydney, Australia
November 15-November 17
ISBN: 0-7695-2421-4
V. Papaefstathiou, Institute of Computer Science (ICS)
I. Papaefstathiou, Institute of Computer Science (ICS)

In this paper, we propose a classification engine employed at Ethernet?s MAC Layer which uses an innovative hashing scheme and internal replacement of MAC Vendor IDs; the Hash Based Classification Engine (HBCE) compacts the MAC address tables and supports extremely high speed decisions. Its very low memory requirements make it a very promising candidate for Ethernet equipments that would need to support classification at Data Link Layer and at Multi- Gigabit per second network speeds. Moreover HBCE can also so be used very efficiently in lower-bandwidth wireless environments.

Citation:
V. Papaefstathiou, I. Papaefstathiou, "A Memory Efficient, 100 Gb/sec MAC Classification Engine," lcn, pp.470-471, The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l, 2005
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