A new consistency algorithm for dynamic documents in content distribution networks

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

One of the important problems in content distribution networks is how to maintain the consistency of content at replicas with the origin server, especially for those documents changing dynamically. In this paper, we propose a new hybrid consistency algorithm that will generate less traffic than the traditional propagation approach, and the invalidation approach. The basic scheme is extended to the case in which requests are not evenly distributed over all replicas. We propose a hierarchical framework which allows replicas at different levels to make a decision based on the statistics collected. Extensive simulations are performed to examine how the traffic generated and the freshness ratio at replicas are affected by various parameters. We experiment with a wide range of request rates, update frequencies, and numbers of replicas. The results show that our approach can take advantage of content distribution networks and significantly reduce the traffic generated.

Original languageEnglish
Pages (from-to)916-926
Number of pages11
JournalJournal of Parallel and Distributed Computing
Volume63
Issue number10
DOIs
StatePublished - Oct 2003

Bibliographical note

Funding Information:
This work was supported in part by the National Science Foundation under Grant CCR-0204304. The author would like to thank Dr. Jim Griffioen for his discussions of the subject and anonymous reviewers for their comments on the paper.

Funding

This work was supported in part by the National Science Foundation under Grant CCR-0204304. The author would like to thank Dr. Jim Griffioen for his discussions of the subject and anonymous reviewers for their comments on the paper.

FundersFunder number
National Science Foundation (NSF)CCR-0204304

    Keywords

    • Data replication
    • Invalidation
    • Propagation
    • Web caching

    ASJC Scopus subject areas

    • Software
    • Theoretical Computer Science
    • Hardware and Architecture
    • Computer Networks and Communications
    • Artificial Intelligence

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