Leveraging Caching for Internet-Scale Content-Based Publish/Subscribe Networks

Abstract : This work is concerned with scaling decentralized content-based publish/subscribe (CBPS) networks for Internet-wide content distribution. A fundamental step for CBPS networks to reach the Internet-scale is to move from the exhaustive filtering service model, where a subscription selects every relevant publication, to a service model capturing the quantitative and qualitative heterogeneity of information consumers' requirements. In previous work, we described a service model allowing information consumers to express the maximum number of publications they would like to receive per service period and how to take advantage of such knowledge to pace the dissemination process. This paper extends by introducing a generic service model that seamlessly supports content-based information retrieval and dissemination and investigates through extensive simulations the performances of six caching policies in terms of consumers satisfaction and bandwidth usage.
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Submitted on : Friday, January 31, 2014 - 11:11:32 AM
Last modification on : Thursday, March 21, 2019 - 2:16:25 PM

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Mohamed Diallo, Serge Fdida, Vasilis Sourlas, Paris Flegkas, Leandros Tassiulas. Leveraging Caching for Internet-Scale Content-Based Publish/Subscribe Networks. ICC 2011 - IEEE International Conference on Communications, Jun 2011, Kyoto, Japan. pp.1-5, ⟨10.1109/icc.2011.5962666⟩. ⟨hal-00940013⟩

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