{"title":"具有重尾服务时间分布的N-burst/G/1模型","authors":"Ronit Nossenson, H. Attiya","doi":"10.1109/MASCOT.2004.1348190","DOIUrl":null,"url":null,"abstract":"The paper introduces a new analytic queuing model, the N-burst/G/1 model with heavy-tailed service-time distribution, which captures many of the issues that affect Web servers as observed by empirical studies. An asymptotic calculation of the model's waiting-time distribution is presented; this relies on calculating the waiting-time distribution in the M/G/1 model with heavy-tailed service-time distribution. Finally, using real data and simulation, we verify the model's assumptions and demonstrate its accuracy.","PeriodicalId":32394,"journal":{"name":"Performance","volume":"102 1","pages":"131-138"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"The N-burst/G/1 model with heavy-tailed service-times distribution\",\"authors\":\"Ronit Nossenson, H. Attiya\",\"doi\":\"10.1109/MASCOT.2004.1348190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper introduces a new analytic queuing model, the N-burst/G/1 model with heavy-tailed service-time distribution, which captures many of the issues that affect Web servers as observed by empirical studies. An asymptotic calculation of the model's waiting-time distribution is presented; this relies on calculating the waiting-time distribution in the M/G/1 model with heavy-tailed service-time distribution. Finally, using real data and simulation, we verify the model's assumptions and demonstrate its accuracy.\",\"PeriodicalId\":32394,\"journal\":{\"name\":\"Performance\",\"volume\":\"102 1\",\"pages\":\"131-138\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Performance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MASCOT.2004.1348190\",\"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.2004.1348190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The N-burst/G/1 model with heavy-tailed service-times distribution
The paper introduces a new analytic queuing model, the N-burst/G/1 model with heavy-tailed service-time distribution, which captures many of the issues that affect Web servers as observed by empirical studies. An asymptotic calculation of the model's waiting-time distribution is presented; this relies on calculating the waiting-time distribution in the M/G/1 model with heavy-tailed service-time distribution. Finally, using real data and simulation, we verify the model's assumptions and demonstrate its accuracy.