Markov analysis of multiple-disk prefetching strategies for external merging

dc.citation.firstpage211en_US
dc.citation.issueNumber1-2eng
dc.citation.lastpage239en_US
dc.citation.volumeNumber128eng
dc.contributor.authorSadananda Pai, Vinay
dc.contributor.authorSchaffer, Alejandro A.
dc.contributor.authorVarman, Peter J.
dc.date.accessioned2015-09-15T17:59:26Z
dc.date.available2015-09-15T17:59:26Z
dc.date.issued1994-06-06
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.eng
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.
dc.identifier.doihttp://dx.doi.org/10.1016/0304-3975(94)90170-8en_US
dc.identifier.urihttps://hdl.handle.net/1911/81646
dc.language.isoeng
dc.publisherElsevier Science Publishers Ltd. Essex, UKeng
dc.relation.projectTheoretical Computer Scienceeng
dc.titleMarkov analysis of multiple-disk prefetching strategies for external mergingeng
dc.typeJournal article
dc.type.dcmiText
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
tcs94.pdf
Size:
1.8 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.61 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections