Randomized Parallel Prefetching and Buffer Management

dc.citation.volumeNumberAdvances in Randomized Parallel Computingeng
dc.contributor.authorKallahalla, Mahesh
dc.contributor.authorVarman, Peter J.
dc.date.accessioned2015-09-15T17:34:20Z
dc.date.available2015-09-15T17:34:20Z
dc.date.issued1999
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.eng
dc.identifier.citationM. Kallahalla and P. J. Varman, "Randomized Parallel Prefetching and Buffer Management," vol. Advances in Randomized Parallel Computing, 1999.
dc.identifier.doihttp://dx.doi.org/10.1007/3-540-64359-1_708en_US
dc.identifier.urihttps://hdl.handle.net/1911/81643
dc.language.isoeng
dc.publisherKluwer Academic Publisherseng
dc.titleRandomized Parallel Prefetching and Buffer Managementeng
dc.typeJournal article
dc.type.dcmiText
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
kluwer99.pdf
Size:
319.76 KB
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