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The Research Of Grid Resource Selection Algorithm Based On The Optimal Credit Benefit

Posted on:2012-07-16Degree:MasterType:Thesis
Country:ChinaCandidate:W D ShuFull Text:PDF
GTID:2178330332990047Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
The grid is the third largest technology after the Web and Internet. Grid puts some and distributed software and hardware resources together, for the scientists and engineers providing a unified computing environment to solve the data and centralized computing problem. The dynamic, heterogeneity and autonomy of grid resource's nature make the technology of grid resources scheduling to become a key problem. Various algorithm of grid resource selection strive to be more optimal. Currently grid resource allocation is an important research. The essence of grid resource allocation is making all kinds of grid computing be coordinated application and distribution of resources reasonable directly, in order to improve the efficiency of grid application and the utilization rate of grid resources, optimizing the performance of the grid. From an economic perspective is currently a hot research on algorithm of resource selection, using market mechanisms principle to solve the problem of resource allocation. The reliability heterogeneity, the distribution and other factors of network influence the performance of grid resources, the algorithm of grid resource selection must consider the various factors affect the performance of the grid and evaluation indicators, in order to ensure quality of service grid resources. Based on the economic model of grid scheduling algorithm follow market principles, make resource provider get optimized and optimizing the quality of grid, purified the grid environment, is the inevitable trend of development of a grid. And credibility is a concept of economic models; it is introduced into the grid to ensure the service of grid resources, so as to improve the quality of the grid resources and attract more resources into the grid, which help expand the size of the grid.This thesis first introduces some relevant knowledge of the grid resources scheduling strategy and the main research contents of the grid, then combined with the development situation and future prospects of grid, and summarize the deficiencies of the algorithm of grid resource scheduling. According to the characteristics of economic model, seek an algorithm of grid resource selection which is similar to the market characteristics.The main work and innovation are listed as follows:1. This thesis introduces the grid research status and the prospect. It analyzes the grid conception, the system structure and the economic model for resource scheduling, then summarizes the deficiencies of the algorithm of grid resource selection.2. According to the grid resources scheduling algorithms'characteristics and deficiencies. From the market operating characteristics, this thesis presents an algorithm based on the optimal credit benefit of grid resource selection. This model improves the users and the grid resource providers'participation in the grid. Credibility as economic model of a conception is introduced to the grid resource distribution, improving the efficiency of resources of resources scheduling.3. This thesis presents a grid resource selection algorithm based on the credit from the view of optimization grid resources quality. Adding a credibility calculator to the grid resources scheduling, improve the efficiency of grid resources scheduling and optimize the quality of grid resources.4. Further optimize the resource scheduling algorithm based on the credit, and solve the load problem based on scheduling grid resources algorithm.5. This thesis introduces the features and the characteristics of the grid simulator GridSim. Using Java programming environment and simulates the scheduling algorithm using the toolbox GridSim. Experimental results show that the presented algorithm is feasible.
Keywords/Search Tags:Grid, Resource scheduling, Credibility, Benefit Optimization, Resource quality, GridSim
PDF Full Text Request
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