Predictability of web-server traffic congestion

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

39 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - WCW 2005
Subtitle of host publication10th International Workshop on Web Content Caching and Distribution
Pages97-103
Number of pages7
DOIs
Publication statusPublished - Dec 1 2005
Externally publishedYes
EventWCW 2005: 10th International Workshop on Web Content Caching and Distribution - Sophia Antipolis, France
Duration: Sep 12 2005Sep 13 2005

Publication series

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

Conference

ConferenceWCW 2005: 10th International Workshop on Web Content Caching and Distribution
CountryFrance
CitySophia Antipolis
Period9/12/059/13/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Baryshnikov, Y., Coffman, E., Pierre, G., Rubenstein, D., Squillante, M., & Yimwadsana, T. (2005). Predictability of web-server traffic congestion. In Proceedings - WCW 2005: 10th International Workshop on Web Content Caching and Distribution (pp. 97-103). [1541217] (Proceedings - WCW 2005: 10th International Workshop on Web Content Caching and Distribution). https://doi.org/10.1109/WCW.2005.17