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An architecture based SKOS ontology for scalable, efficient and fault tolerant grid resource discovery

机译:基于架构的SKOS本体,用于可扩展,高效且容错的网格资源发现

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Grid computing allows coordinated and collaborative resource sharing across several institutions, to solve large scientific problems that could not be easily solved within the boundaries of a single institution. To take advantages of all these resources, which have a heterogeneous and dynamic nature, an efficient resource discovery mechanism is required. As the number of nodes is constantly increasing, scalability and efficiency are highly desirable. Hybrid techniques are considered among the solutions that guarantee the efficiency and the scalability at the same time. This paper introduces a semantic clustering of nodes based on their domains of interest to form groups called federations. It presents a new process for constructing the federations and the three layers overlay network, based on Semantic Web technologies that use a SKOS lightweight ontology for describing domains of applications in the grid, and routing queries to target federations in an efficient way. We present a scalable and fault-tolerant process to leaders' federations, which minimizes the overhead between leaders during the process of updating information about themselves.
机译:网格计算允许在多个机构之间进行协调和协作的资源共享,以解决在单个机构的边界内无法轻松解决的重大科学问题。为了利用所有这些具有异构动态特性的资源,需要一种有效的资源发现机制。随着节点数量的不断增加,非常需要可伸缩性和效率。解决方案中考虑了混合技术,这些技术可同时确保效率和可伸缩性。本文介绍了基于节点感兴趣域的语义聚类,以形成称为联合的组。它提出了一种基于语义Web技术,用于构建联盟和三层覆盖网络的新过程,该语义网络技术使用SKOS轻量级本体描述网格中的应用程序域,并以有效的方式将查询路由到目标联盟。我们向领导者的联合会提出了一个可伸缩且容错的过程,该过程可以最大程度地减少领导者在更新有关其自身的信息的过程中的开销。

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