Multi-Performance Optimization for MAS Based Grid Computing
Volume 10, Number 2, March 2014 - SC 45 - pp. 226-229
SHENGJI YU, YANPING XIANG, ZONGYI XU, SA MENG, and QIANG LISchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, P.R. CHINA
(Received on August 22, 2013; revised on September 13, 2013)
The challenge of multi-performance optimization has been extensively addressed in the literature based on deterministic parameters. In Grid Computing platforms, since resources are geographically separated and heterogeneous, it is rather difficult to apply a uniform distribution algorithm for achieving various optimization goals. This paper proposes a multi-agent system (MAS) based approach for optimal network resource distribution to satisfy requirements of both users and service providers. Moreover, agents’ communication is discussed and simulation is described.
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