Optimization in a hierarchical distributed performance monitoring system

Ling Shi, Olivier de Vel, Jiannong Cao, Michel Cosnard

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 Citations (Scopus)

Abstract

Monitoring program execution in a distributed system can generate large quantities of data, and the collection and processing of the monitoring data is one of the primary factors that contribute to the complexity of distributed monitoring. In order to reduce such complexity, a hierarchical distributed performance monitoring system has been developed. In this paper we describe an optimization method to improve the efficiency of the monitoring system. By considering the topology used by the application program and the distribution of monitoring records, an optimized grouping can be determined to obtain an improved performance for the monitoring system. The experiments presented in this paper have demonstrated such an improvement in performance.
Original languageEnglish
Title of host publicationIEEE International Conference on Algorithms and Architectures for Parallel Processing
PublisherIEEE
Pages537-544
Number of pages8
Publication statusPublished - 1 Jan 1995
Externally publishedYes
EventProceedings of the IEEE 1st International Conference on Algorithms and Architectures for Parallel Processing. Part 1 (of 2) - Brisbane, Australia
Duration: 19 Apr 199521 Apr 1995

Conference

ConferenceProceedings of the IEEE 1st International Conference on Algorithms and Architectures for Parallel Processing. Part 1 (of 2)
Country/TerritoryAustralia
CityBrisbane
Period19/04/9521/04/95

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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