Int J Performability Eng ›› 2014, Vol. 10 ›› Issue (2): 226-229.doi: 10.23940/ijpe.14.2.p226.mag
• Short Communications •
SHENGJI YU, YANPING XIANG, ZONGYI XU, SA MENG, and QIANG LI
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.
SHENGJI YU, YANPING XIANG, ZONGYI XU, SA MENG, and QIANG LI. Multi-Performance Optimization for MAS Based Grid Computing [J]. Int J Performability Eng, 2014, 10(2): 226-229.
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