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Research on Resource Scheduling Algorithm Based on Computational Economy Model of Grid
Author: ZhangTao
Tutor: XuWenBo
School: Jiangnan University
Course: Applied Computer Technology
Keywords: Grid Computing Ant Algorithm Genetic Algorithms Load Balancing Quality of service Throughput
CLC: TP393.01
Type: Master's thesis
Year: 2006
Downloads: 320
Quote: 4
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Abstract
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Grid computing has become a hot topic of current research . In a grid system , resource scheduling is a problem. Excellent resource scheduling strategy , the execution of tasks can reduce the time and costs, improve service quality, increase the throughput of the entire grid system . In this paper, the calculation of the economic model of the grid computing resource scheduling algorithms are discussed. The main text around the search algorithm , quality of service , load balancing and throughput few fronts . To facilitate resource providers and resource consumers to express their needs , raise resources and task description language ; achieve excellent resources in a large number of computing resources efficiently search , the search algorithm is designed . The algorithm combines the principle of cache system , the principle of locality , the ant algorithm and the advantage of genetic algorithm , greatly improved the performance of the genetic algorithm computing resources can be dynamically efficient search . In ensuring the quality of service , in accordance with the economic characteristics of the model of the calculation of the grid , the establishment of resource providers reputation model and resource consumers credibility model . The model can not only ensure that the requirements of the transaction on objective factors , but also to achieve the assessment of the subjective attitude of the traders , to ensure quality of service . Task classification and resource reference price strategy , in the case does not affect other indicators to ease the load pressure , improve the utilization of system resources . In the calculation of the economic model of the grid computing resources billing , an excellent resource for a major evaluation of this article is the resource prices , which can ensure that the search for reasonably priced resources , minimize costs . For the throughput , the resource allocation to a large task to reduce the scheduling frequency and save scheduling time , thereby improving throughput . In addition, the credibility of the resource providers and resource consumers and the throughput is closely related to , this article discusses the relationship between credibility and throughput , and prove the credibility larger resources to provide the resources assigned to the credibility large consumers of resources , can improve the system throughput. Finally , the use of Grid simulator GridSim test the algorithm , experimental results show that the proposed algorithm is effective .
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