Predictability of web-server traffic congestion

Yuliy Baryshnikov, Ed Coffman, Guillaume Pierre, Dan Rubenstein, Mark Squillante, Teddy Yimwadsana

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

41 被引用数 (Scopus)

抄録

Large swings in the demand for content are commonplace within the Internet. When a traffic hotspot happens, however, there is a delay before measures such as heavy replication of content can be applied. This paper investigates the potential for predicting hotspots sufficiently far, albeit shortly, in advance, so that preventive action can be taken before the hotpot takes place. Performing accurate load predictions appears to be a daunting challenge at first glance, but this pape r shows that, when applied to web-server page-request traffic, even elementary prediction techniques can have a surprising forecasting power. We first argue this predictability from principles, and then confirm it by the analysis of empirical data, which reveals that large server overloads can often be seen well in advance. This allows steps to be taken to reduce substantially the degradation of service quality.

本文言語英語
ホスト出版物のタイトルProceedings - WCW 2005
ホスト出版物のサブタイトル10th International Workshop on Web Content Caching and Distribution
ページ97-103
ページ数7
DOI
出版ステータス出版済み - 12 1 2005
外部発表はい
イベントWCW 2005: 10th International Workshop on Web Content Caching and Distribution - Sophia Antipolis, フランス
継続期間: 9 12 20059 13 2005

出版物シリーズ

名前Proceedings - WCW 2005: 10th International Workshop on Web Content Caching and Distribution

会議

会議WCW 2005: 10th International Workshop on Web Content Caching and Distribution
国/地域フランス
CitySophia Antipolis
Period9/12/059/13/05

All Science Journal Classification (ASJC) codes

  • 工学(全般)

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