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Multi-Performance Optimization for MAS Based Grid Computing

SC IJPE 45

Shengji Yu, Yanping Xiang, Zongyi Xu, Sa Meng, and Qiang Li

School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China

Received on: August 22, 2013

Revised on: September 13, 2013

Accepted on: September 23, 2013

 

Abstract:

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.

 

Status: Published in IJPE Vol. 10, No. 2, March 2014, pp. 226-229

 

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