Performance Evaluation of Overload Control in Multi-cluster Grids

Nezih Yigitbasi, Omer Ozan Sonmez, Alexandru Iosup, Dick H.J. Epema

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

Abstract

Multi-cluster grids are widely employed to execute workloads consisting of compute- and data-intensive applications in both research and production environments. Such workloads, especially when they are bursty, may stress shared system resources, to the point where overload conditions occur. Overloads can severely degrade the system performance and responsiveness, potentially causing user dissatisfaction and perhaps even revenue loss. However, the characteristics of multi-cluster grids, such as their complexity and heterogeneity, raise numerous nontrivial issues while controlling overload in such systems. In this work we present an extensive performance evaluation of overload control in multi-cluster grids. We adapt a dynamic throttling mechanism that enforces a concurrency limit indicating the maximum number of tasks running concurrently for every application. Using diverse workloads we evaluate several throttling mechanisms including our dynamic mechanism in our DAS-3 multi-cluster grid. Our results show that throttling can be used for effective overload control in multi-cluster grids, and in particular, that our dynamic technique improves the application performance by as much as 50% while also improving the system responsiveness by up to 80%. © 2011 IEEE.
Original languageEnglish
Title of host publicationProceedings - 12th IEEE/ACM International Conference on Grid Computing, GRID 2011, Lyon, France, September 21-23, 2011
Pages173-180
Number of pages8
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event12th IEEE/ACM International Conference on Grid Computing, Grid 2011 - Lyon, France
Duration: 22 Sep 201123 Sep 2011

Conference

Conference12th IEEE/ACM International Conference on Grid Computing, Grid 2011
CountryFrance
CityLyon
Period22/09/1123/09/11

Keywords

  • multi-cluster grids
  • overload
  • overload control
  • performance evaluation
  • responsiveness

Cite this