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Market Economy-based Multi-objective Resource Allocation Method

Posted on:2006-05-28Degree:MasterType:Thesis
Country:ChinaCandidate:M M GaoFull Text:PDF
GTID:2208360182468218Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Grid, based on parallel and distributed computing theory, emerges as a new infrastructure of Internet computing. Through discovering and managing different resources in the grid, it can share and exchange these distributed resources between multiple administrative domain , organizations and enterprises. Meanwhile, grid resource distribution model play an important role in the system. For the accurate description of grid's resource distribution in market mechanism economics theory and the emphases of users' different requests that are given in grid theory, it will be significant to study the multi-goal linear programming model based on the theory of market economy.The linear programming model described in this paper mainly discussed how to satisfy users' multitask and multi-goal requirement in market economy environment. This model cannot only satisfy users' requests, but also raise resource distribution efficiency of grid system. At the same time, this paper also discussed task scheduling process with combination optimize model. In this way, we can distribute these tasks to the grid according tasks' requirement and cost, which improve the resource usage in an efficient way.At last, this paper gives the resource distribution policy and the resource price policy in a summarizable way. It introduced the combination model of linear programming theory and game playing theory. Through integrating the welfare economics model with combination optimize model, we can get a better model of resource distribution and improve the system efficiency. In the end, we can provide some numeric result to prove that we can bring more profit in the grid and ensure a better Quality of Service.
Keywords/Search Tags:grid resource distribution, market economy model, linear programming, combination optimizing, game playing theory
PDF Full Text Request
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