Scalable consistency management in dynamic content distribution overlays

Zhou Su, Jiro Katto, Yasuda Yasuhiko

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

Abstract

Content Distribution Overlays improves end-user performance by replicating Web contents on a group of geographically distributed sites interconnected over the Internet. However, with the development whereby overlay systems, can manage dynamically [2] changing files, an important issue to be resolved is consistency management, which means the cached replicas on different sites must be updated if the originals change. In this paper, based on the analytical formulation of object freshness time, web access distribution and network topology, we derive a novel algorithm as follows: (1) For a given content which has been changed at its original server, only a limited number of its replicas, instead of all replicas are updated. (2) After a replica has been selected for update, the latest version will be sent from an algorithm-decided site instead of from its original server. Simulation results verify that the proposed algorithm provides much better consistency management than, conventional methods with the reduced update overhead and network traffic.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Cluster Computing, CLUSTER
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 IEEE International Conference on Cluster Computing, CLUSTER - Burlington, MA, United States
Duration: 2005 Sep 272005 Sep 30

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)1552-5244

Conference

Conference2005 IEEE International Conference on Cluster Computing, CLUSTER
CountryUnited States
CityBurlington, MA
Period05/9/2705/9/30

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Su, Z., Katto, J., & Yasuhiko, Y. (2005). Scalable consistency management in dynamic content distribution overlays. In 2005 IEEE International Conference on Cluster Computing, CLUSTER [4154125] (Proceedings - IEEE International Conference on Cluster Computing, ICCC). https://doi.org/10.1109/CLUSTR.2005.347082