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A slacker coherence protocol for pull-based monitoring of on-line data sources

  • Ohio State University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

An increasing number of online applications operate on data from disparate, and often wide-spread, data sources. This paper studies the design of a system for the automated monitoring of on-line data sources. In this system a number of ad-hoc data warehouses, which maintain client-specified views, are interposed between clients and data sources. We present a model of coherence, referred to here as slacker coherence, to address the freshness problem in the context of pull-based protocols. We experimentally examine various techniques for estimating update rates and polling adaptively. We also look at the impact on the coherence model performance of the request scheduling algorithm at the source.

Original languageEnglish
Title of host publicationProceedings - CCGrid 2003
Subtitle of host publication3rd IEEE/ACM International Symposium on Cluster Computing and the Grid
Pages250-257
Number of pages8
DOIs
StatePublished - 2003
Event3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2003 - Tokyo, Japan
Duration: May 12 2003May 15 2003

Publication series

NameProceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid

Conference

Conference3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2003
Country/TerritoryJapan
CityTokyo
Period05/12/0305/15/03

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