A Memory Efficient, 100 Gb/sec MAC Classification Engine
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
Algorithms for packet classification
IEEE Network: The Magazine of Global Internetworking
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Ethernet is the most common Layer-2 network protocol, and it is currently being deployed beyond the tight borders of LANs. In order to accommodate the needs of MANs and WANs, several QoS mechanisms employed at the MAC sublayer of Ethernet have been proposed. These QoS mechanisms require identification of network flows and the classification of Ethernet packets according to certain Ethernet header fields. In this paper, we propose a classification engine employed at the MAC sublayer which uses an innovative hashing scheme and internal replacement of MAC Vendor IDs; the Hash Based Classification Engine (HBCE) compacts the tables containing the rules associated with certain MAC addresses and supports extremely high speed decisions --at a rate of more than 100Gb/sec-, while its memory needs are significantly lower compared to those of the similar schemes currently used. This engine has been implemented in hardware utilizing less than 0.1mm2 in a state of the art CMOS technology. As a result HBCE is a very promising candidate for the next-generation Ethernet equipments that need to support classification at Data Link Layer at multi-Gigabit per second network speeds, whereas due to its very low memory requirements and low implementation complexity, it can also be employed very efficiently in lower-bandwidth wireless environments that utilize MAC mechanisms.