%0 Journal Article
%T Multi-cluster Grid Resource Dispatch Model Based on Reinforcement Learning<br>基于强化学习的多机群网格资源调度模型
%A CHEN Qing-Kui CHEN Qing-Kui
%A <br>陈庆奎
%J 计算机科学
%D 2007
%I 
%X For resolving the problem to effectively match between Data Parallel Computing (DPC) and computational resources in Multi-cluster Grid that composed of many computer dusters, a grid resource dispatch model based on reinforcement learning is discussed. A series of formal definitions, such as the Multi-cluster Grid (MCG), the Logical Computer Cluster(LCC), the DPC and the Agents, are given. Using the mechanism of cooperation and competition of Multi-Agent, the knowledge-base re- vising techniques based on reinforcement learning, the effective match methods are studied. The resource dispatch model is de- scribed. The analysis and experiment results show that this model effectively resolves the problems of optimized use of re- sources in Multi-cluster Grid. It can be fit for the data paralld computing in Grid.
%K Multi-cluster grid
%K Multi-agent
%K Resource dispatch
%K Data parallel computing
%K Reinforcement learning<br>多机群网格
%K 多智能体
%K 资源调度
%K 数据并行型计算
%K 强化学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=EB49DEE26151E7EEA1FFF30017077B04&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=708DD6B15D2464E8&sid=5D71B28100102720&eid=09ABD5535D9B6D45&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=15