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Performance evaluation of an agent-based resource management infrastructure for grid computing

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3 Author(s)
Junwei Cao ; High Performance Syst. Lab., Warwick Univ., Coventry, UK ; Kerbyson, D.K. ; Nudd, Graham R.

Resource management is an important infrastructure in the grid computing environment. Scalability and adaptability are two key challenges in the implementation of such complex software systems. We introduce a new model for resource management in a metacomputing environment using a hierarchy of homogeneous agents that has the capability of service discovery. The performance of the agent system can be improved using different combinations of optimisation strategies. A modelling and simulation environment has been developed in this work that enables the performance of the system to be investigated. A simplified model of the resource management infrastructure is given as a case study and simulation results are included that show the impact of the choice of performance optimisation strategies on the overall system performance

Published in:

Cluster Computing and the Grid, 2001. Proceedings. First IEEE/ACM International Symposium on

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