Research on Agent-based grid resource management
Jinglin Hu · Computer Engineering and Applications Journal · 2009
Grid computing has been a hotspot in recent years.Facing geographically distributed,hybrid,autonomous and dynamic changing grid resources,how to manage and schedule them is a key problem,and is still far to be solved satisfactorily.This paper presents a novel grid resource management model based on Agent.In order to take full advantage of intelligence and adaptability of agents,dynamic fuzzy knowledgebase and relevant fuzzy Q learning algorithm are designed for the agents.The model and algo-rithm have largely met the needs of intelligence,flexibility,scalability and optimization for grid resource management and schedul-ing.Simulation experiments show that the proposed model and algorithm works soundly and efficiently.