Title :
Performance evaluation of an agent-based resource management infrastructure for grid computing
Author :
Cao, Junwei ; Kerbyson, Darren J. ; Nudd, Graham R.
Author_Institution :
High Performance Syst. Lab., Warwick Univ., Coventry, UK
Abstract :
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
Keywords :
performance evaluation; processor scheduling; resource allocation; software agents; agent based resource management infrastructure; agent system; case study; complex software systems; grid computing environment; homogeneous agent hierarchy; metacomputing environment; optimisation strategies; performance evaluation; performance optimisation strategies; resource management infrastructure; service discovery; simulation environment; system performance; Computer science; Grid computing; Metacomputing; Optimization; Pervasive computing; Power system modeling; Processor scheduling; Resource management; Scalability; Software systems;
Conference_Titel :
Cluster Computing and the Grid, 2001. Proceedings. First IEEE/ACM International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7695-1010-8
DOI :
10.1109/CCGRID.2001.923208
