A multi-layer resource reconfiguration framework for grid computing

Po Cheng Chen, Jyh Biau Chang, Tyng Yeu Liang, Ce-Kuen Shieh, Yi Chang Zhuang

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

3 Citations (Scopus)

Abstract

Grid is a non-dedicated and dynamic computing environment. Consequently, different programs have to compete with each other for the same resources, and resource availability varies over time. That causes the performance of user programs to degrade and to become unpredictable. For resolving this problem, we propose a multi-layer resource reconfiguration framework for grid computing. As named, this framework adopts different resource reconfiguration mechanisms for different workloads of resources. We have implemented this framework on a grid-enabled DSM system called Teamster-G. Our experimental result shows that our proposed framework allows Teamster-G not only to fully utilize abundant CPU cycles but also to minimize resource contention between the jobs of resource consumers and those of resource providers. As a result, the job throughput of Teamster-G is effectively increased.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series - Proceedings of the 4th International Workshop on Middleware for Grid Computing (MGC'06) held at the ACM/IFIP/USENIX International Middleware Conference
Number of pages1
DOIs
Publication statusPublished - 2006 Dec 1
Event4th International Workshop on Middleware for Grid Computing (MGC'06) held at the ACM/IFIP/USENIX International Middleware Conference - Melbourne, Australia
Duration: 2006 Nov 272006 Dec 1

Publication series

NameACM International Conference Proceeding Series
Volume194

Other

Other4th International Workshop on Middleware for Grid Computing (MGC'06) held at the ACM/IFIP/USENIX International Middleware Conference
Country/TerritoryAustralia
CityMelbourne
Period06-11-2706-12-01

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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