{"title":"准指数延迟的实时高百分位跟踪","authors":"K. Sohraby, A. E. Eckberg","doi":"10.1109/INFCOM.1993.253283","DOIUrl":null,"url":null,"abstract":"In many applications certain parameters of a system should be set on the basis of some large percentiles of a delay random variable, for which the characteristics may not be known or may change slowly with time. Assuming that sample values of delays are available sequentially, the authors obtain a simple algorithm to track two key statistical characteristics of the delay. Any high percentile then may be approximated as a simple linear function of these parameters. The approach is based on a quasi-exponential assumption concerning the delays.<<ETX>>","PeriodicalId":166966,"journal":{"name":"IEEE INFOCOM '93 The Conference on Computer Communications, Proceedings","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-time high percentile tracking of quasi-exponential delays\",\"authors\":\"K. Sohraby, A. E. Eckberg\",\"doi\":\"10.1109/INFCOM.1993.253283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In many applications certain parameters of a system should be set on the basis of some large percentiles of a delay random variable, for which the characteristics may not be known or may change slowly with time. Assuming that sample values of delays are available sequentially, the authors obtain a simple algorithm to track two key statistical characteristics of the delay. Any high percentile then may be approximated as a simple linear function of these parameters. The approach is based on a quasi-exponential assumption concerning the delays.<<ETX>>\",\"PeriodicalId\":166966,\"journal\":{\"name\":\"IEEE INFOCOM '93 The Conference on Computer Communications, Proceedings\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE INFOCOM '93 The Conference on Computer Communications, Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFCOM.1993.253283\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE INFOCOM '93 The Conference on Computer Communications, Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOM.1993.253283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time high percentile tracking of quasi-exponential delays
In many applications certain parameters of a system should be set on the basis of some large percentiles of a delay random variable, for which the characteristics may not be known or may change slowly with time. Assuming that sample values of delays are available sequentially, the authors obtain a simple algorithm to track two key statistical characteristics of the delay. Any high percentile then may be approximated as a simple linear function of these parameters. The approach is based on a quasi-exponential assumption concerning the delays.<>