Markov analysis of multiple-disk prefetching strategies for external merging

dc.citation.firstpage211en_US
dc.citation.issueNumber1-2en_US
dc.citation.lastpage239en_US
dc.citation.volumeNumber128en_US
dc.contributor.authorSadananda Pai, Vinayen_US
dc.contributor.authorSchaffer, Alejandro A.en_US
dc.contributor.authorVarman, Peter J.en_US
dc.date.accessioned2015-09-15T17:59:26Zen_US
dc.date.available2015-09-15T17:59:26Zen_US
dc.date.issued1994-06-06en_US
dc.description.abstractMultiple-disk organizations can be used to improve the I/O performance of problems like external merging. Concurrency can be introduced by overlapping I/O requests at different disks and by prefetching additional blocks on each I/O operation. To support this prefetching, a memory cache is required. Markov models for two prefetching strategies are developed and analyzed. Closed-form expressions for the average parallelism obtainable for a given cache size and number of disks are derived for both prefetching strategies. These analytic results are confirmed by simulation.en_US
dc.identifier.citationV. Sadananda Pai, A. A. Schaffer and P. J. Varman, "Markov analysis of multiple-disk prefetching strategies for external merging," vol. 128, no. 1-2, 1994.en_US
dc.identifier.doihttp://dx.doi.org/10.1016/0304-3975(94)90170-8en_US
dc.identifier.urihttps://hdl.handle.net/1911/81646en_US
dc.language.isoengen_US
dc.publisherElsevier Science Publishers Ltd. Essex, UKen_US
dc.relation.projectTheoretical Computer Scienceen_US
dc.titleMarkov analysis of multiple-disk prefetching strategies for external mergingen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
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