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Performance and Reliability of Tree-Structured Grid Services Considering Data Dependence and Failure Correlation

机译:考虑数据相关性和故障相关性的树状网格服务的性能和可靠性

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Grid computing is a newly emerging technology aimed at large-scale resource sharing and global-area collaboration. It is the next step in the evolution of parallel and distributed computing. Due to the largeness and complexity of the grid system, its performance and reliability are difficult to model, analyze, and evaluate. This paper presents a model that relaxes some assumptions made in prior research on distributed systems that were inappropriate for grid computing. The paper proposes a virtual tree-structured model of the grid service. This model simplifies the physical structure of a grid service, allows service performance (execution time) to be efficiently evaluated, and takes into account data dependence and failure correlation. Based on the model, an algorithm for evaluating the grid service time distribution and the service reliability indices is suggested. The algorithm is based on Graph theory and probability theory. Illustrative examples and a real case study of the BioGrid are presented.
机译:网格计算是一种新兴的技术,旨在实现大规模资源共享和全球区域协作。这是并行和分布式计算发展的下一步。由于网格系统的庞大和复杂性,其性能和可靠性难以建模,分析和评估。本文提出了一个模型,该模型放宽了先前对分布式系统不适合网格计算的研究的一些假设。提出了网格服务的虚拟树结构模型。该模型简化了网格服务的物理结构,可以有效地评估服务性能(执行时间),并考虑了数据依赖性和故障关联性。基于该模型,提出了一种评估网格服务时间分布和服务可靠性指标的算法。该算法基于图论和概率论。给出了生物网格的说明性示例和实际案例研究。

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