首页 | 本学科首页   官方微博 | 高级检索  
     

基于MAS协同的动态资源优化调度策略研究*
引用本文:史德嘉,王璞.基于MAS协同的动态资源优化调度策略研究*[J].计算机应用研究,2009,26(11):4063-4065.
作者姓名:史德嘉  王璞
作者单位:1. 湖南商学院,计算机与电子工程学院,长沙,410205
2. 湘潭大学,信息学院,湖南,湘潭,411000
基金项目:湖南省自然科学基金重点资助项目(06JJ2033)
摘    要:目前,围绕着网格中的资源调度方法,虽然已提出了各种调度算法,但是都不能很好地适应网格环境下的自治性、动态性、分布性和异构性等特征。针对动态计算网格资源调度问题,基于多智能体协同技术和市场博弈机制,对计算网格资源分配技术进行了深入研究,提出了能够反映供求关系的基于计算经济机制的网格资源调度模型,建立了消费者的效用函数,给出了资源调度的动态博弈算法。仿真实验说明资源利用率比传统算法好,整个资源的供需合理、负载均衡。

关 键 词:多agent系统    资源调度    计算经济    动态定价    效用函数

Research on resource allocation algorithm based on MAS cooperative bidding game
SHI De-ji,WANG Pu.Research on resource allocation algorithm based on MAS cooperative bidding game[J].Application Research of Computers,2009,26(11):4063-4065.
Authors:SHI De-ji  WANG Pu
Affiliation:(1.School of Computer & Electronic Engineering, Hunan University of Commerce, Changsha 410205, China; 2.School of Information, Xiangtan University, Xiangtan Hunan 411000, China)
Abstract:Currently, much research can be found about grid scheduling and proposed some algorithms on it. However, since grid resources are autonomic, distributed and their status change over time, those scheduling algorithms do not fit for the cases well. With MAS coordinated technology and market bidding game rules, introduced a grid resource allocation model based on market economy, which could show the relation between supply and demand. Gave the utility function of consumer. The results of emulation test show that the approach significantly improves resource utilization, which make the allocation of the whole network resource tend to be more reasonable.
Keywords:multi-agent system(MAS)  resource allocation model  computational economy  bidding  utility function
本文献已被 万方数据 等数据库收录!
点击此处可从《计算机应用研究》浏览原始摘要信息
点击此处可从《计算机应用研究》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号