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A self-adaptive Model based on Multi-Objective Programming for Grid Resource Management

来源:中国论文联盟  作者:guo quan [字体: ]
 Abstract:Abstract :The growing computational power requirements of grand challenge applications have positioned computational grid as promising next generation computing platform. However, resource management and application with varied requirements in grid environment continue to be a complex undertaking. In order to address complex resource management issues, we provide a self-adaptive model, which is based on multi-objective programming. The model make use of virtues of market mechanism efficiently, meanwhile, the shortcomings of market mechanism, such as too frequent fluctuations of price, are avoided by means of the method of changing prices after trading. Through using atom allocation of resource group, the cooperating allocation is improved, and some problems, such as deadlock of resource and inefficiently occupying resource, are solved. What’s more important, efficiently using various resources in grid system is guaranteed through importing multi-objective programming mechanism in our resource management solution. A frame of resource allocation is given at first, then, the mathematical model of the method is constructed. An algorithm is proposed to get the approximate solution in this paper.
  Keywords: grid, self-adaptive, market mechanism, resource allocation
  
  1Introduction
  Computational grids comprise heterogeneous resources, policies and applications with varied requirements. Due to the complexity in constructing successful grid environments, it is impossible to define an acceptable system-wide performance matrix and common fabric management policy. Through using the virtues of market mechanisms, such as the lever of price, a method of self-adaptive resource managing is provided in this paper, which can solve the difficulties exists in resource allocation like resource autonomy of resource owner, distribution and parallel of decision-making of resource allocation as well. The idea of applying economics to resource management in grid has been explored in previous research [1][3][5] [7] to help understand the potential benefits of market-based systems. Unfortunately, most of them were implemented followed a monolithic architecture, which means they are hard to extend.
  A method of changing price after trading is presented in this paper, which can be better seasoned with the uncertain market environment of supply and demand of resource. At the same time, it can alleviate the user’s burden made by too many consultations within one trade. Further, to address the issue of inefficiently resource occupying or resource applying deadlock, we provide a method of atomic resource allocation, which means to allocate all the resources a procedure need or none at one time. The rest of this paper explores the use of economic paradigm for resource managing with particular emphasis on providing the algorithm and its test that support dynamic and self-adaptive schedule.
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