CC-Buddy: An adaptive framework for maintaining cache coherency using peers

Song Gao, Wee Siong Ng, Weining Qian, Aoying Zhou

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

2 Scopus citations

Abstract

In this paper, we propose a framework called CC-Buddy, for maintaining dynamic data coherency in peer-To-peer environment. Working on the basis of peer heterogeneity in data coherency requirement, peers in CC-Buddy cooperate with each other to disseminate the updates by pushing. Simulation results show that our solution not only improves the fidelity in data, but also reduces the workload of servers, therefore achieves high-scalability.

Original languageEnglish
Title of host publicationProceedings of the 13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004
PublisherAssociation for Computing Machinery, Inc
Pages330-331
Number of pages2
ISBN (Electronic)1581139128, 9781581139129
DOIs
StatePublished - 19 May 2004
Externally publishedYes
Event13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004 - New York, United States
Duration: 19 May 200421 May 2004

Publication series

NameProceedings of the 13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004

Conference

Conference13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004
Country/TerritoryUnited States
CityNew York
Period19/05/0421/05/04

Keywords

  • Cache coherency
  • Dynamic data
  • Peer-To-peer

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