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Research on Resource Scheduling Fused with Trust Mechanism in Grid Environment

Author: ZhengJunZuo
Tutor: SunHuaZhi
School: Tianjin Normal University
Course: Educational Technology
Keywords: Grid Resource scheduling Trust mechanism Trust-Min-Min algorithm
CLC: TP393.01
Type: Master's thesis
Year: 2008
Downloads: 64
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Abstract


As openness of the grid environment, whether to large-scale parallel computing, or to information sharing and interoperability, there will be a wide range of security issues. And the grid-domain management, heterogeneous, dynamic characteristics, making Grid resource management different network environment, Grid security has been the hotspot.In this paper ,the research status of the grid security is described; According to Grid security characteristics, relation of trust is introduced into the Grid security system, then the two keys issues in system—trust relationship and resource management are studied.This Paper make a detail analysis of the trust relationships in Gird and the expressions, measurement and updating of the trust relationships. And we introduce the trust mechanism to the grid scheduling. Based on the traditional resources management and scheduling framework, we introduce the trust mechanism, which is used to compute and update the Trust Value of grid resource nodes. Thus trust mechanism-fused resource scheduling model and policy in grid is proposed. During the scheduling, it considers not only the QoS of tasks and the performance parameters,but also the trust relationship each other. Then grid system can allocate the task to the resource nodes with high Trust value. So it can reduce the total completion time, it also can increase the probability of the task that executing successfully. The Performance of grid is improved.This paper analyses the most classical algorithm Min-Min and also enhances it to ensure security during the scheduling, the Trust-Min-Min algorithm is proposed. At last we simulate our algorithm with the aid of GridSim toolkit, we compare the algorithm to Min-Min in many aspects and the simulation result indicates that our algorithm is more reasonable and efficient. Therefore it is an efficient scheduling algorithm for scheduling in grid environment.

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