{"title":"自适应显式拥塞通知","authors":"Zici Zheng, R. Kinicki","doi":"10.1109/ISCC.2002.1021773","DOIUrl":null,"url":null,"abstract":"Using ns-2 simulations, this paper evaluates an adaptive explicit congestion notification (AECN) router. By receiving round-trip time (RTT) source hints from each TCP flow, AECN divides flows into flow groups based on RTT ranges. AECN uses distinct flow group drop probabilities and a mark front scheme to provide higher goodput and better fairness than random early detection (RED) and explicit congestion notification (ECN) routers.","PeriodicalId":261743,"journal":{"name":"Proceedings ISCC 2002 Seventh International Symposium on Computers and Communications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Adaptive explicit congestion notification\",\"authors\":\"Zici Zheng, R. Kinicki\",\"doi\":\"10.1109/ISCC.2002.1021773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using ns-2 simulations, this paper evaluates an adaptive explicit congestion notification (AECN) router. By receiving round-trip time (RTT) source hints from each TCP flow, AECN divides flows into flow groups based on RTT ranges. AECN uses distinct flow group drop probabilities and a mark front scheme to provide higher goodput and better fairness than random early detection (RED) and explicit congestion notification (ECN) routers.\",\"PeriodicalId\":261743,\"journal\":{\"name\":\"Proceedings ISCC 2002 Seventh International Symposium on Computers and Communications\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings ISCC 2002 Seventh International Symposium on Computers and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCC.2002.1021773\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings ISCC 2002 Seventh International Symposium on Computers and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCC.2002.1021773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using ns-2 simulations, this paper evaluates an adaptive explicit congestion notification (AECN) router. By receiving round-trip time (RTT) source hints from each TCP flow, AECN divides flows into flow groups based on RTT ranges. AECN uses distinct flow group drop probabilities and a mark front scheme to provide higher goodput and better fairness than random early detection (RED) and explicit congestion notification (ECN) routers.
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