DocumentCode :
1915757
Title :
Performance prediction technology for agent-based resource management in grid environments
Author :
Cao, Junwei ; Jarvis, Stephen A. ; Spooner, Daniel P. ; Turner, James D. ; Kerbyson, Darren J. ; Nudd, Graham R.
Author_Institution :
University of Warwick
fYear :
2001
fDate :
15-19 April 2001
Abstract :
This paper introduces a resource management infrastructure for grid computing environments. The technique couples application performance prediction with a hierarchical multi-agent system. An initial system implementation utilises the performance prediction capabilities of the PACE toolkit to provide quantitative data regarding the performance of complex applications running on local grid resources. The validation results show that a high level of accuracy can be obtained, that cross-platform comparisons can be easily undertaken, and that the estimates can be evaluated rapidly. A hierarchy of homogeneous agents are used to provide a scalable and adaptable abstraction of the grid system architecture. An agent is a representative of a local grid resource and is considered to be both a service provider and a service requestor. Agents are organised into a hierarchy and cooperate to provide service advertisement and discovery. A performance monitor and advisor has been developed to optimise the performance of the agent system. A case study with corresponding experimental results are included to demonstrate the efficiency of the resource management and scheduling system.
Keywords :
Application software; Grid computing; High performance computing; Informatics; Laboratories; Middleware; Monitoring; Performance analysis; Resource management; Scalability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium., Proceedings International, IPDPS 2002, Abstracts and CD-ROM
Conference_Location :
Ft. Lauderdale, FL
Print_ISBN :
0-7695-1573-8
Type :
conf
DOI :
10.1109/IPDPS.2002.1015660
Filename :
1015660
Link To Document :
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