Adaptive content management in structured P2P communities

Jussi Kangasharju, Keith W. Ross, David A. Turner

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

    Abstract

    A fundamental paradigm in P2P is that of a large community of intermittently-connected nodes that cooperate to share files. Because nodes are intermittently connected, the P2P community must replicate and replace files as a function of their popularity to achieve satisfactory performance. We develop a suite of distributed, adaptive algorithms for replicating and replacing content in a P2P community. We do this for structured P2P communities, in which a distributed hash table (DHT) overlay is available for locating the node responsible for a key. In particular, we develop the Top-K MFR replication and replacement algorithm, which can be layered on top of a DHT overlay, and in addition adaptively converges to a nearly-optimal replication profile. Furthermore, we evaluate the file transfer load caused by the adaptive algorithms on each peer, and present two approaches for achieving a better load balance. Our evaluation shows that with our two algorithms, an arbitrary load distribution is possible, hence allowing each peer to serve requests at the rate it wishes.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 1st International Conference on Scalable Information Systems, InfoScale '06
    DOIs
    StatePublished - 2006
    Event1st International Conference on Scalable Information Systems, InfoScale '06 - Hong Kong, China
    Duration: May 30 2006Jun 1 2006

    Publication series

    NameACM International Conference Proceeding Series
    Volume152

    Other

    Other1st International Conference on Scalable Information Systems, InfoScale '06
    CountryChina
    CityHong Kong
    Period5/30/066/1/06

    ASJC Scopus subject areas

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications

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