Agent在网格资源管理中的应用研究  

Research on Agent-based grid resource management

作　　者：李福芳[1] 谢冬青[1] 齐德昱[2] 郭四稳[1] 胡景林[2] 

机构地区：[1]广州大学计算机科学与教育软件学院,广州510006 [2]华南理工大学计算机科学与工程学院,广州510640

出　　处：《计算机工程与应用》2009年第10期30-33,共4页Computer Engineering and Applications

基　　金：国家自然科学基金No.60475040;粤港关键领域重点突破项目No.2005A10307007;广州大学博士启动基金~~

摘　　要：由于网格资源的自治、分布、异构和动态变化等特性,如何有效地管理和调度资源是网格计算领域中的一个关键问题,至今仍未得到满意的解决。提出了一种基于Agent的网格资源管理模型,为各类Agent设计了动态模糊知识库,并研究了基于动态模糊知识的模糊Q学习算法。算法较好地满足了网格资源管理中的智能适应性、扩展性及调度优化的需要。通过模拟实验验证了所研究模型和算法的有效性和效率。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 algorithm have largely met the needs of intelligence,flexibility,scalability and optimization for grid resource management and scheduling.Simulation experiments show that the proposed model and algorithm works soundly and efficiently.

关 键 词：网格计算 多AGENT系统 网格资源管理 模糊知识库 模糊Q学习 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]