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Consultation mechanism with the mandate drift grid scheduling model design and implementation

Author: ChenZhongXue
Tutor: LiFaGen；WeiXianMin
School: University of Electronic Science and Technology
Course: Software Engineering
Keywords: Grid Computing Task Flow Economic Grid Consultation mechanisms
CLC: TP393.02
Type: Master's thesis
Year: 2010
Downloads: 9
Quote: 0
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Abstract


Grid computing is a multi-agency coordination mechanism resources. Among them, collaborative workflow as an important aspect of the problem in recent years has become a new area of ??research computing grid. The use of computational grid resources from the viewpoint of commodity markets as a model is natural, because the computational grid can be seen as a product-oriented (business) computing environment. Since the geographic distribution of grid resources, heterogeneity and resource owners use their resources pricing strategy, which led to the price grid resource management is very complicated. In addition, the grid resource market mechanisms to promote free competition and some irrational pricing grid resources, will likely lead to some resource scheduling failed. Meanwhile, some grid resource market participants may not comply with the rules, such as resource consumers trying to get other consumers to access a resource, so long idle, forcing the price of the resource owners; while the resource providers to maximize their own interests, but resources to make their pricing, price fixing or even possible. For the task flow job, despite the many proposed scheduling model, but the randomness of the grid resource pricing bottleneck, the traditional job scheduling task flow model is no better adaptability. In view of this, this paper on the basis of previous studies for collaborative grid workflow issues will be the price in economics consultative mechanism to introduce Grid computing presents a negotiation model based on task flow WFWN (Work f low with Negotiation) . Consultation mechanism with the mandate drift grid scheduling model simulation grid computing environment using market mechanisms, with the price mechanism regulating supply and demand sides to achieve homeostasis. It does this by descriptor convenient flow of resources and tasks management jobs, solving task flow operating in a heterogeneous environment of synergy. Matrix storage resources via MCT and jobs descriptor so as to facilitate the mapping of jobs and resources; improve the operating rate and the match between resources. When the prices of resources and the job does not match the price negotiation mechanism used for secondary operations matching, thus greatly reducing the mismatch of resources and makes the job scheduling failed. The model in the traditional grid resource management has been improved on the basis of the resource scheduling resource management were combined and price negotiation mechanism for the realization of the efficiency of grid resource management and intelligent foundation. Simulation results show that the model is feasible. The model can be applied to the task flow job grid computing environment, you can reduce the human and other external factors on the impact of grid resource management, deal with the problem of improving grid efficiency and reliability, increase throughput and grid computing environments success rate.

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