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    CACHERP: A novel dynamic cache size tuning model working with relative object popularity for fast web information retrieval

    Access Status
    Fulltext not available
    Authors
    Wu, R.
    Wong, A.
    Dillon, Tharam S.
    Date
    2006
    Type
    Journal Article
    
    Metadata
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    Citation
    Wu, R. and Wong, A. and Dillon, T.S. 2006. CACHERP: A novel dynamic cache size tuning model working with relative object popularity for fast web information retrieval. Journal of Supercomputing. 36 (3): pp. 283-296.
    Source Title
    Journal of Supercomputing
    DOI
    10.1007/s11227-006-8298-x
    ISSN
    09208542
    URI
    http://hdl.handle.net/20.500.11937/14475
    Collection
    • Curtin Research Publications
    Abstract

    The CACHERPframework leverages the relative object popularity as the sole parameter for dynamic cache size tuning. In the process it consistently maintains the prescribed cache hit ratio on the fly by deriving the popularity ratio from the current statistics. As a result the accuracy of the statistical CACHERPoperation is independent of changes in the Internet traffic pattern that may switch suddenly. The contribution by the novel CACHERPframework is that by adaptively maintaining the given hit ratio it effectively reduces the end-to-end information retrieval roundtrip time (RTT) and frees more bandwidth for sharing. This bandwidth would otherwise be consumed in transferring large amounts of data from remote data sources to the proxy server before it is given to the client or requestor.

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