Optimization of Grid Resource Allocation Combining Fuzzy Theory with Generalized Assignment Problem
In the existing economy based models of grid resource allocation and management, just as commodity market model and posted price model,sharing resource is based on negotiating about the usage duration or time, the usage fee, QoS (Quality of Service) and some other items between the owner or his broker and the consumer of grid resource. That will cost so much time for a great deal of grid users no matter whether they are grid resource owners or grid resource consumers, which reduced the sharing efficiency in the grid environment and some time is even unaccepted. In this paper, the idea of GRS (Grid Resource Supermarket) is introduced. Posted price model based on GRS and optimization based on GAP (GeneralizedAssignment Problem) are proposed. Our scheme can help to solve the problem in the previous description. In the end an example is given to show the feasibility of this scheme.
Li Mingbiao Chen Xinmeng Jiao Feng Wu Zhijian
Computer School, Wuhan University, Wuhan(430079), China;Computer School of Science and Engineering, Computer School, Wuhan University, Wuhan(430079), China The State Key Laboratory of Software Engineering Wuhan University, Wuhan, China
国际会议
第六届网格与协同计算国际会议(The Sixth International Conference on Grid and Cooperative Computing GCC 2007)
乌鲁木齐
英文
142-146
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）