{"title":"A memory efficient, 100 Gb/sec MAC classification engine","authors":"Vassilis D. Papaefstathiou, I. Papaefstathiou","doi":"10.1109/LCN.2005.9","DOIUrl":null,"url":null,"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","PeriodicalId":368269,"journal":{"name":"The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LCN.2005.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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