Simulation study demonstrates up to 340% performance gains in remote file service using knowledge-based caching, highlighting the benefit of predicting process behavior.
Limitations of current disk block caching strategies are discussed. A model for providing remote file service using knowledge-based caching algorithms is proposed. The knowledge-based algorithms generate expectations of user process behavior which are used to provide hints to the file server. Te research involved gathering trace data from a modified Unix kernel and conducting trace-driven simulation of remote file server models. Performance improvements of up to 340% were observed for knowledge-based caching in simulated file service. Comparisons are made between conventional, knowledge-based, and optimal models. Extensions to general caching are discussed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Kim M. Korner (2002) studied this question.
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