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Grid computing is a new emerging network technology , has become a hot research , grid computing to achieve cross-regional, cross-platform sharing of information resources , resource users get the cheapest resources , resource providers get the maximum benefit , task scheduling is a branch of the more popular current research , its contents include the discovery of resources , tasks and resources match the three parts of the execution of the task , the grid system according to different tasks, and take appropriate strategy , the task is assigned to a corresponding resource , so that the characters can be solved in the shortest time and minimum cost case , but due to the complexity of the task scheduling and the dynamic nature of the grid environment , making resource scheduling more cumbersome , resources and users can join at any time and the withdrawal of the grid system , more efficient resource management technology trust management , trust technology to manage resources and users . Papers in grid computing and trust management based on grid resource scheduling algorithm based on fuzzy theory , take full advantage of fuzzy theory trust node , do not trust node in between part of the theoretical description of , and trust renewal theory , at the same time, the article will trust node node as measured in order to obtain the trust pay to obtain a desired effective algorithm, the expected benefit is the node to perform a task when the expected benefits and benefits , used to predict the implementation of the mandate . By simulation , by the transaction history to determine a trusted node , to prove that the proposed algorithm, algorithm than the previous minimum excellent , especially in terms of utilization , can greatly improve the utilization of system resources .
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