{"title":"流量自相似度对QoS机制的影响","authors":"J. Domańska, A. Domanski, T. Czachórski","doi":"10.1109/SAINTW.2005.113","DOIUrl":null,"url":null,"abstract":"We investigate the influence of stochastic features (self-similarity, long range autocorrelation) of the input traffic on the performance of some QoS mechanisms. We model the impact of input traffic characteristics on queue distributions and packet loss probability observed at leaky bucket mechanism, at fixed priority scheduling of packets and on the RED queue. The results confirm a strong influence of self-similarity on the behaviour of these mechanisms.","PeriodicalId":220913,"journal":{"name":"2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"The Influence of Traffic Self-Similarity on QoS Mechanisms\",\"authors\":\"J. Domańska, A. Domanski, T. Czachórski\",\"doi\":\"10.1109/SAINTW.2005.113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigate the influence of stochastic features (self-similarity, long range autocorrelation) of the input traffic on the performance of some QoS mechanisms. We model the impact of input traffic characteristics on queue distributions and packet loss probability observed at leaky bucket mechanism, at fixed priority scheduling of packets and on the RED queue. The results confirm a strong influence of self-similarity on the behaviour of these mechanisms.\",\"PeriodicalId\":220913,\"journal\":{\"name\":\"2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAINTW.2005.113\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAINTW.2005.113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Influence of Traffic Self-Similarity on QoS Mechanisms
We investigate the influence of stochastic features (self-similarity, long range autocorrelation) of the input traffic on the performance of some QoS mechanisms. We model the impact of input traffic characteristics on queue distributions and packet loss probability observed at leaky bucket mechanism, at fixed priority scheduling of packets and on the RED queue. The results confirm a strong influence of self-similarity on the behaviour of these mechanisms.