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Performance optimization for data intensive grid applications

  • University of Maryland, College Park
  • Johns Hopkins University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

The ability to effectively use computational grids for data intensive applications is becoming increasingly important. The distributed, heterogeneous, shared nature of the computing resources provides a significant challenge in developing support for computationally demanding applications. In this paper we describe several performance optimization techniques we have developed for the filter-stream programming framework that we have designed and implemented for programming data intensive applications on the Grid. We present performance results for multiple versions of a medical imaging application on various distributed machine configurations that show the benefits of the optimizations, and also provide evidence that filter-stream programming can be implemented to both efficiently utilize available Grid resources and to provide scalable application performance as additional resources are made available.

Original languageEnglish
Title of host publicationProceedings - 3rd Annual International Workshop on Active Middleware Services
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages97-105
Number of pages9
ISBN (Electronic)0769515282, 9780769515281
DOIs
StatePublished - 2001
Event3rd Annual International Workshop on Active Middleware Services, AMS 2001 - San Francisco, United States
Duration: Aug 6 2001 → …

Publication series

NameProceedings - 3rd Annual International Workshop on Active Middleware Services

Conference

Conference3rd Annual International Workshop on Active Middleware Services, AMS 2001
Country/TerritoryUnited States
CitySan Francisco
Period08/6/01 → …

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