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Fault tolerant scheduling of workflows in grid computing environment (FTSW)

机译:网格计算环境(FTSW)中的工作流容错调度

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Computational grids have the potential for solving large - scale and scientific problems using geographically distributed and heterogeneous resources. In addition to the challenges of managing and scheduling resources reliable challenges arise because the grid infrastructure is unreliable. There are two major problems in Scheduling the Grid 1) Efficient Scheduling of jobs 2) Providing fault tolerance in a reliable manner. Most of the existing strategies do not provide fault tolerance for scheduling the workflows. There are some algorithms which provide fault tolerance but, they do a significant measure of redundant computation to provide fault tolerance. This paper addresses this issue and reduces the redundant work by using a group level table of data. This technique is suitable for workflow of jobs.
机译:计算网格具有使用地理分布和异构资源解决大规模科学问题的潜力。除了管理和调度资源方面的挑战外,由于网格基础架构不可靠,还会引发可靠的挑战。网格调度中存在两个主要问题:1)作业的高效调度; 2)以可靠的方式提供容错能力。大多数现有策略不为计划工作流提供容错能力。有一些算法可以提供容错能力,但是它们对冗余计算起到了很大的作用,以提供容错能力。本文解决了这个问题,并通过使用组级别的数据表减少了冗余工作。此技术适用于工作流程。

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