An adaptive resource monitoring method for distributed heterogeneous computing environment

Gang Yang, Kaibo Wang, Xingshe Zhou

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

4 Scopus citations

Abstract

Resource performance monitoring is among the most active research topics in distributed computing. In this paper, we propose an adaptive resource monitoring method for applications in heterogeneous computing environment. According to the operating environment of distributed heterogeneous system and the changes of system resource workload, the method combines periodic pull mode with event-driven push mode to adaptively publish and retrieve system resource information. Preliminary experiments reveal that, by using our adaptive monitoring method, the efficiency of system monitoring is improved over that accrued by using regular monitoring approaches.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2009
Pages40-44
Number of pages5
DOIs
StatePublished - 2009
Event2009 IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2009 - Chengdu, Sichuan, China
Duration: 9 Aug 200912 Aug 2009

Publication series

NameProceedings - 2009 IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2009

Conference

Conference2009 IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2009
Country/TerritoryChina
CityChengdu, Sichuan
Period9/08/0912/08/09

Keywords

  • Adaptive method
  • Heterogeneous system
  • Performance evaluation
  • System monitoring

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