{"title":"比较网络带宽时间序列","authors":"Matthew S. Allen, J. Brevik, R. Wolski","doi":"10.4108/GRIDNETS.2007.2241","DOIUrl":null,"url":null,"abstract":"Today, internet researchers, engineers, and application writers have at their disposal a number of methods for measuring end-to-end internet performance. Additionally, many wide-area applications make heavy use of measurement techniques to optimize their performance. Despite this, there is no widely accepted method for determining if two tools or techniques produce equivalent results, or if feedback from a tool is relevant to the application that employs it. In this paper, we apply current technologies in time series databases and network performance modeling to the problem of comparing network bandwidth time series. Using these techniques, we present a methodology to evaluate the level of similarity between two time series","PeriodicalId":380761,"journal":{"name":"Networks for Grid Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparing network bandwidth time-series\",\"authors\":\"Matthew S. Allen, J. Brevik, R. Wolski\",\"doi\":\"10.4108/GRIDNETS.2007.2241\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, internet researchers, engineers, and application writers have at their disposal a number of methods for measuring end-to-end internet performance. Additionally, many wide-area applications make heavy use of measurement techniques to optimize their performance. Despite this, there is no widely accepted method for determining if two tools or techniques produce equivalent results, or if feedback from a tool is relevant to the application that employs it. In this paper, we apply current technologies in time series databases and network performance modeling to the problem of comparing network bandwidth time series. Using these techniques, we present a methodology to evaluate the level of similarity between two time series\",\"PeriodicalId\":380761,\"journal\":{\"name\":\"Networks for Grid Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Networks for Grid Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4108/GRIDNETS.2007.2241\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Networks for Grid Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/GRIDNETS.2007.2241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Today, internet researchers, engineers, and application writers have at their disposal a number of methods for measuring end-to-end internet performance. Additionally, many wide-area applications make heavy use of measurement techniques to optimize their performance. Despite this, there is no widely accepted method for determining if two tools or techniques produce equivalent results, or if feedback from a tool is relevant to the application that employs it. In this paper, we apply current technologies in time series databases and network performance modeling to the problem of comparing network bandwidth time series. Using these techniques, we present a methodology to evaluate the level of similarity between two time series