Randomized Parallel Prefetching and Buffer Management
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We show that deterministic algorithms using bounded lookahead cannot fully exploit the potential of a parallel I/O system. Randomization can be used to significantly improve the performance of parallel prefetching and buffer management algorithms. Using randomization in the data layout and a simple prefetching scheme, we show that a readonce reference string of length N can be serviced in θ(N/D) parallel I/Os in a D-disk system. For the case of read-many reference strings we introduce a novel algorithm using randomized write-back with a competitive ratio of θ(D). In contrast, we show that deterministic write-back results in a competitive ratio of at least (D).
Supported in part by NSF Grant CCR-9704562 and a grant from the Schlumberger Foundation.
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M. Kallahalla and P. J. Varman, "Randomized Parallel Prefetching and Buffer Management," vol. Advances in Randomized Parallel Computing, 1999.