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Agent-based Grid Resource Management

Posted on:2011-02-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y P LuFull Text:PDF
GTID:2208360308462928Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Grid is a signification technology of parallel distributed computing rise in recent years. Resources management is one of its key technologies in the grid environment, one of the structure and dynamic and other features, and resource management and is divided into many technical and resource management branch technology has become complicated and cumbersome, the focus of the discovery of the distribution of resources and technology, and the resources for grid environments of payment.The present resources and technical research to find a little, because the resources found technology improvements, depend on hardware that the appropriate mechanisms need to improve the allocation of resources more and more mature and technology with economic theory, a powerful impetus to the resources allocated to technical development, the focus of research in the grid environment for the allocation of resources node.This article elaborated on the grid of some of the basic concepts and Grid in domestic and foreign on development of put forward in the grid transactions Signed electronic contracts and third-party regulatory approach to protect the interests of users, and the use of improved resource allocation model to contain the damage malicious node behavior, focuses on how to use the three resource discovery mechanisms to improve resource efficiency and shorten the mission found that the activation time, the last use of the grid simulation tool GridSim the proposed algorithm performance by simulation experiments.Simulation results show that three mechanisms to improve resource discovery to improve resource discovery is feasible, the system efficiency is superior to no non-minimum algorithm, can improve the grid system, grid resource discovery rate and profits.
Keywords/Search Tags:Grid computing, Resource discovery, resource allocation, buffering mechanisms, pre-selection mechanisms
PDF Full Text Request
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