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Optimization of Grid Resource Allocation Combining Fuzzy Theory with Generalized Assignment Problem

机译:结合模糊理论与广义分配问题的网格资源分配优化

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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 (Generalized Assignment 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.
机译:在现有的基于经济的网格资源分配和管理模型中,就像商品市场模型和发布的价格模型一样,共享资源的基础是关于使用期限或时间,使用费,QoS(服务质量)和其他一些项目的协商。在所有者或经纪人与网格资源的使用者之间。无论网格用户是网格资源所有者还是网格资源使用者,这对于大量网格用户来说都将花费大量时间,这降低了网格环境中的共享效率,甚至有些时间是无法接受的。本文介绍了GRS(网格资源超市)的思想。提出了基于GRS的定价模型和基于GAP(广义分配问题)的优化模型。我们的方案可以帮助解决前面描述中的问题。最后通过实例说明了该方案的可行性。

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