Abstract

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.

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