Measurement-based modeling and analysis methodology for characterizing parallel I/O performance

S. Sharma, R. K. Iyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A parallel I/O characterization methodology that consists of a hierarchical modeling and measurement analysis environment for investigating I/O performance is presented. The methodology is illustrated via a case study of a video server workload running under the parallel I/O file system (PIOFS) of IBM SP/2. The measurements demonstrate that for video server and read-intensive workloads, spreading parallel files across all eight I/O servers improves a client's bandwidth performance by 36-52%. With eight clients, the per-client bandwidth performance increases by only 15%-23%. PIOFS-based default file striping results in degradation of bandwidth performance by as much as 25%.

Original languageEnglish (US)
Title of host publicationProceedings - 5th International Conference on High Performance Computing, HiPC 1998
PublisherIEEE Computer Society
Pages391-398
Number of pages8
ISBN (Electronic)0818691948
DOIs
StatePublished - 1998
Event5th International Conference on High Performance Computing, HiPC 1998 - Chennai, Madras, India
Duration: Dec 17 1998Dec 20 1998

Publication series

NameProceedings - Symposium on Computer Architecture and High Performance Computing
ISSN (Print)1550-6533

Other

Other5th International Conference on High Performance Computing, HiPC 1998
Country/TerritoryIndia
CityChennai, Madras
Period12/17/9812/20/98

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software

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