A memory efficient, 100 Gb/sec MAC classification engine

Vassilis D. Papaefstathiou, I. Papaefstathiou
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引用次数: 4

Abstract

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
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内存效率高,100 Gb/秒的MAC分类引擎
在本文中,我们提出了一种用于以太网MAC层的分类引擎,它使用了一种创新的哈希方案和MAC供应商id的内部替换;基于哈希的分类引擎(HBCE)压缩MAC地址表并支持极高速的决策。它非常低的内存要求使其成为以太网设备中非常有前途的候选者,这些设备需要支持数据链路层和每秒千兆网络速度的分类。此外,HBCE也可以在低带宽无线环境中非常有效地使用
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