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An adaptive task-level fault-tolerant approach to Grid

机译:网格的自适应任务级容错方法

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A strong failure recovery mechanism handling diverse failures in heterogeneous and dynamic Grid is so important to ensure the complete execution of long-running applications. Although there have been various efforts made to address this issue, existing solutions either focus on employing only one single fault-tolerant technique without considering the diversity of failures, or propose some frameworks which cannot deal with various kinds of failures adaptively in Grid. In this paper, an adaptive task-level, fault-tolerant approach to Grid is proposed. This approach aims at handling quite a complete set of failures arising in Grid environment by integrating basic fault-tolerant approaches. Moreover, this paper puts forward that resource consumption (not received enough attention) is also an important evaluation metric for any fault-tolerant approach. The corresponding evaluation models based on mean execution time and resource consumption are constructed to evaluate any fault-tolerant approach. Based on the models, we also demonstrate the effectiveness of our approach and illustrate the performance gains achieved via simulations. The experiments based on a real Grid have been made and the results show that our approach can achieve better performance and consume less resource. Keywords Grid - Task-level - Fault-tolerant - Resource consumption - Mean execution time
机译:一个强大的故障恢复机制可以处理异构和动态Grid中的各种故障,因此对于确保长时间运行的应用程序的完整执行非常重要。尽管已经为解决此问题做出了各种努力,但是现有解决方案要么只专注于采用一种单一的容错技术,而没有考虑故障的多样性,要么提出了一些无法自适应地处理Grid中各种故障的框架。本文提出了一种自适应的任务级容错网格方法。该方法旨在通过集成基本的容错方法来处理在网格环境中发生的一整套故障。此外,本文提出资源消耗(没有引起足够的重视)也是任何容错方法的重要评估指标。构建基于平均执行时间和资源消耗的相应评估模型,以评估任何容错方法。基于这些模型,我们还展示了我们方法的有效性,并说明了通过仿真获得的性能提升。进行了基于真实网格的实验,结果表明我们的方法可以实现更好的性能,并且消耗更少的资源。关键字网格-任务级别-容错-资源消耗-平均执行时间

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