首页> 外文期刊>American journal of applied sciences >RESOURCE SELECTION IN GRID ENVIRONMENT BASED ON TRUST EVALUATION USING FEEDBACK AND PERFORMANCE
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RESOURCE SELECTION IN GRID ENVIRONMENT BASED ON TRUST EVALUATION USING FEEDBACK AND PERFORMANCE

机译:基于反馈和绩效的信任度评估的网格环境资源选择

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摘要

A grid computing is a collection of distributed computing resources owned by many organizations across boundaries and not dedicated for a single user available in the Virtual Organization. Grid computing environment provides more computational capabilities to increase the scalability and efficiency of the infrastructure. Resource selection in computational grid is the open issue for executing complex jobs. Trust is the one of the important factor for selecting the resources in computational grid. We introduced a new technique for finding the trusted resource. In our proposed method, we computed the trusted resource from user's feedback and performance. While selecting the resource, overall trustworthiness is compared. The result of the resource selection algorithm is that most trust resource weight is above the threshold level. In our proposed algorithm job is submitted to the trust resource available in grid.
机译:网格计算是许多组织跨边界拥有的分布式计算资源的集合,并且不适用于虚拟组织中的单个用户。网格计算环境提供了更多的计算功能,以提高基础架构的可伸缩性和效率。计算网格中的资源选择是执行复杂作业的未解决问题。信任是在计算网格中选择资源的重要因素之一。我们介绍了一种用于查找受信任资源的新技术。在我们提出的方法中,我们根据用户的反馈和性能来计算可信资源。在选择资源时,会比较整体的可信赖度。资源选择算法的结果是大多数信任资源权重都在阈值级别之上。在我们提出的算法中,作业被提交到网格中可用的信任资源。

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