Font Size: a A A

The Research On Grid Resource Scheduling Model Based On Computational Economy

Posted on:2008-10-02Degree:MasterType:Thesis
Country:ChinaCandidate:K X LiuFull Text:PDF
GTID:2178360218452977Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
There are strict requirements for entity cooperation in grid environment due to the dynamic, autonomy and heterogeneity of grid.How to manage and allocate the heterogeneity and distributing resource is one of the kernel problems to be solved for grid development.The grid resources which allocated by a good resource schedul- ing policies can be effectively used,and a good mechanism can attract more people who own the resources to put their resources to grid.At present, there are various resource scheduling algorithms for Grid environment, mainly including performance scheduling and economy scheduling. Performance scheduling mainly includes precision scheduling,multi-standard scheduling and intelligent search criteria scheduling methods and etc.In economy scheduling,computational economy model have been imported to grid environment, prices as a lever and resources are driven by profit.Resource owners who contribute their resources can receive some reward so more and more resources are encouraged to join the grid.This thesis is based on the computational economy model, in order to achieve a fair market environment and benefit both resource owners and resource users, making the work as following:●Analyzing research content and significance of grid resource scheduling and research actuality;●Computational economy model has been imported to grid resource scheduling process.A grid resource scheduling model based on computational economy has been proposed;●According to the mandate of the users preferences, some different scheduling algorithms are proposed and their performance also be analysised on the base of the model proposed above;●Testing the model and algorithms by agent which simulate the buyers and sellers in economy model.The simulation results show that the scheduling model can be better adapted to the dynamic and autonomy of grid;users can fairly obtain the resource of the higher ratio of performance to price.
Keywords/Search Tags:Grid computing, Resource Scheduling, Economic Model, Agent, Mobile Agent
PDF Full Text Request
Related items