A performance model of speculative prefetching in distributed information systems
Tuah, N. J., Kumar, M. and Venkatesh, S. 1999, A performance model of speculative prefetching in distributed information systems, in IPPS/SPDP 1999 : Proceedings of the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing, IEEE, New York, N. Y., pp. 75-80, doi: 10.1109/IPPS.1999.760437.
Previous studies in speculative prefetching focus on building and evaluating access models for the purpose of access prediction. This paper investigates a complementary area which has been largely ignored, that of performance modelling. We use improvement in access time as the performance metric, for which we derive a formula in terms of resource parameters (time available and time required for prefetching) and speculative parameters (probabilities for next access). The performance maximization problem is expressed as a stretch knapsack problem. We develop an algorithm to maximize the improvement in access time by solving the stretch knapsack problem, using theoretically proven apparatus to reduce the search space. Integration between speculative prefetching and caching is also investigated, albeit under the assumption of equal item sizes.
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Field of Research
089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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