{"title":"Workload Characterization of a Large Systems Conference Web Server","authors":"Aniket Mahanti, C. Williamson, Leanne Wu","doi":"10.1109/CNSR.2009.19","DOIUrl":null,"url":null,"abstract":"This paper presents a workload characterization study of the WWW2007 conference Web site. We use both server-sideband client-side measurement to collect data for our analysis. The collected datasets contain approximately 10 million requests from about130,000 unique visitors generating 215 GB of traffic volume during a 1-year period. Our analysis focuses on usage behaviour, client errors, client network properties,bandwidth, and robot activity of the site.In addition to the workload characterization study itself,our work also offers a comparative discussion of different approaches to Web data analysis, and some insights for future organizers of large systems conferences with a significant Web presence.","PeriodicalId":103090,"journal":{"name":"2009 Seventh Annual Communication Networks and Services Research Conference","volume":"53 18","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Seventh Annual Communication Networks and Services Research Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNSR.2009.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
This paper presents a workload characterization study of the WWW2007 conference Web site. We use both server-sideband client-side measurement to collect data for our analysis. The collected datasets contain approximately 10 million requests from about130,000 unique visitors generating 215 GB of traffic volume during a 1-year period. Our analysis focuses on usage behaviour, client errors, client network properties,bandwidth, and robot activity of the site.In addition to the workload characterization study itself,our work also offers a comparative discussion of different approaches to Web data analysis, and some insights for future organizers of large systems conferences with a significant Web presence.