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Research Of Mechanism Of Grid Resources Discovery Based On Agent

Posted on:2009-06-23Degree:MasterType:Thesis
Country:ChinaCandidate:X L FengFull Text:PDF
GTID:2178360245499985Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the rapid development of grid, grid resources management is the key to achieving high-performance computing. How to discovery grid resources efficiently, accurately and scientifically is an important issue to grid resources management.Because the whole grid computing resources, together with the grid itself is dynamic, so application developers more urgent need the support of mobile computing technology. Mobile agent technology used in grid can move automatically between the hosts of the grid carrying executable code, data and the running state, so it can be better used in dynamic grid environment.On the basis of in-depth study on the domestic and abroad grid resources discovery mechanism, the current technology of distributed finding-mechanism integrating with centralized finding-mechanism was discovered still not be mature.There are still some problems existing,such as low-efficiency finding grid resource, not adjustting to dynamic grid resources.This paper based on agent technology,combined with distributed and centralized grid resources discovery mechanism, and established a new grid resources discovery model. Designed rapid resources discovery method from the local storage node to the virtual organization manage node in the virtual organization, and improved model of mobile agent path optimization algorithm in the dynamic grid environment.Against to the path optimization problem of mobile agent in the grid environment, studied ant colony algorithm in the grid environment, found the ant conlony algorithm inadequate of efficiency and not adjustting to dynamic of the grid environment, the core idea of improving algorithm is to use genetic algorithms to improve ant algorithm initialization rules ,enhance algorithm convergence speed. And , use the rules of updating nodes to reflect the user's satisfaction to different grid nodes and their changes,the algorithm will be applied to better grid resource discovery issues and make the algorithm applied to grid resources discovery issues better. In order to validate the performance of improved ant colony algorithm in grid path optimization of mobile agent, this paper designed a few experiments, simulate grid environment by programming, from algorithm effectiveness, grid dynamic environment as well as the universal application, compared the basic ant colony algorithm, genetic ant colony algorithm with improving ant colony algorithm. The experimental results show that this improved algorithm is effective, the algorithm solved the dynamic path optimization problem of mobile agent in grid environment, thus, improved the grid resources discovery efficiency.
Keywords/Search Tags:grid, virtual organizations, resources discovery, mobile agent, ant algorithm, path optimization
PDF Full Text Request
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