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Facilitating resource discovery in grid environments with peer-to-peer structured tuple spaces

机译:使用点对点结构化元组空间促进网格环境中的资源发现

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The computational grid is rapidly evolving into a large-scale computing infrastructure that facilitates resource sharing and problem solving over the Internet. Information services play a crucial role in grid environments for discovery of resources. The dynamic nature and the large-scale of a grid pose many challenges to information services in terms of scalability and resilience. This paper presents RDSpace which can be used as a substrate for resource discovery in grid environments. RDSpace builds a shared tuple space on top of a structured peer-to-peer overlay to achieve high scalability in dealing with a large number of computing nodes and to support range queries in discovery of resources. Another novelty of RDSpace lies in its capability to handle churn situations where nodes may join or leave the space frequently. RDSpace is evaluated from the aspects of scalability and churn handling, and the evaluation results are also presented in this paper.
机译:计算网格正在迅速发展为大规模的计算基础架构,该基础架构促进了Internet上的资源共享和问题解决。信息服务在用于发现资源的网格环境中起着至关重要的作用。网格的动态性质和规模对可伸缩性和弹性方面的信息服务提出了许多挑战。本文介绍了RDSpace,它可以用作网格环境中资源发现的基础。 RDSpace在结构化的对等覆盖之上构建一个共享的元组空间,以在处理大量计算节点时实现高可伸缩性,并支持资源发现中的范围查询。 RDSpace的另一个新颖之处在于它能够处理节点可能频繁加入或离开该空间的搅动情况。从可伸缩性和搅动处理的角度对RDSpace进行了评估,并给出了评估结果。

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