{"title":"Web/TCP传输延迟的滞后模型","authors":"Yujian Li, C. Williamson","doi":"10.1109/MASCOT.2004.1348194","DOIUrl":null,"url":null,"abstract":"The paper presents an accurate stochastic model for transfer latency of short-lived Web-like TCP flows with random packet losses. Our model characterizes a data transfer in alternating cycles, with TCP state information carried over from one cycle to the next. Simulation experiments show that our model matches simulation results for short-lived flows better than earlier TCP models, and fits long-lived TCP flows as well. Our model is then extended to estimate transfer times for CATNIP TCP, which is shown to be 5-42% faster than TCP Reno, depending on transfer size and packet loss ratio.","PeriodicalId":32394,"journal":{"name":"Performance","volume":"34 1","pages":"167-174"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A hysteresis model for Web/TCP transfer latency\",\"authors\":\"Yujian Li, C. Williamson\",\"doi\":\"10.1109/MASCOT.2004.1348194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents an accurate stochastic model for transfer latency of short-lived Web-like TCP flows with random packet losses. Our model characterizes a data transfer in alternating cycles, with TCP state information carried over from one cycle to the next. Simulation experiments show that our model matches simulation results for short-lived flows better than earlier TCP models, and fits long-lived TCP flows as well. Our model is then extended to estimate transfer times for CATNIP TCP, which is shown to be 5-42% faster than TCP Reno, depending on transfer size and packet loss ratio.\",\"PeriodicalId\":32394,\"journal\":{\"name\":\"Performance\",\"volume\":\"34 1\",\"pages\":\"167-174\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Performance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MASCOT.2004.1348194\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Performance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASCOT.2004.1348194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper presents an accurate stochastic model for transfer latency of short-lived Web-like TCP flows with random packet losses. Our model characterizes a data transfer in alternating cycles, with TCP state information carried over from one cycle to the next. Simulation experiments show that our model matches simulation results for short-lived flows better than earlier TCP models, and fits long-lived TCP flows as well. Our model is then extended to estimate transfer times for CATNIP TCP, which is shown to be 5-42% faster than TCP Reno, depending on transfer size and packet loss ratio.