Randomized Parallel Prefetching and Buffer Management

dc.citation.volumeNumberAdvances in Randomized Parallel Computingen_US
dc.contributor.authorKallahalla, Maheshen_US
dc.contributor.authorVarman, Peter J.en_US
dc.date.accessioned2015-09-15T17:34:20Zen_US
dc.date.available2015-09-15T17:34:20Zen_US
dc.date.issued1999en_US
dc.description.abstractWe 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.en_US
dc.identifier.citationM. Kallahalla and P. J. Varman, "Randomized Parallel Prefetching and Buffer Management," vol. Advances in Randomized Parallel Computing, 1999.en_US
dc.identifier.doihttp://dx.doi.org/10.1007/3-540-64359-1_708en_US
dc.identifier.urihttps://hdl.handle.net/1911/81643en_US
dc.language.isoengen_US
dc.publisherKluwer Academic Publishersen_US
dc.titleRandomized Parallel Prefetching and Buffer Managementen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
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