{"title":"Choke-based switching algorithm in stochastic P2P networks to reduce file download duration","authors":"Michael R. Lehrfeld, G. Simco","doi":"10.1109/SECON.2010.5453904","DOIUrl":null,"url":null,"abstract":"Content Delivery Networks download performance is dependent on byte-based or time-based switching algorithms. To overcome an extended relationship with a poor performing server, a client based choking algorithm was developed that enables clients to preemptively depart poor performing servers to decrease download duration. The choking algorithm employees a client based choke threshold that enables individual clients to determine when a server's performance degrades to an unacceptable level. Two separate experiments were run through a peer-to-peer simulator: single-client and multi-client scenarios. Temporal fluctuations were incorporated as well as a stochastic AR-1 random process to closely mimic expected server loads. In both instances, the choking algorithm reduces download duration.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2010.5453904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Content Delivery Networks download performance is dependent on byte-based or time-based switching algorithms. To overcome an extended relationship with a poor performing server, a client based choking algorithm was developed that enables clients to preemptively depart poor performing servers to decrease download duration. The choking algorithm employees a client based choke threshold that enables individual clients to determine when a server's performance degrades to an unacceptable level. Two separate experiments were run through a peer-to-peer simulator: single-client and multi-client scenarios. Temporal fluctuations were incorporated as well as a stochastic AR-1 random process to closely mimic expected server loads. In both instances, the choking algorithm reduces download duration.