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

机译:基于架构的斯科斯本体,可扩展,高效和容错电网资源发现

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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中协调和协作资源共享,以解决在单个机构的界限内无法轻易解决的大型科学问题。要采取具有异质和动态性质的所有这些资源的优势,需要有效的资源发现机制。由于节点的数量不断增加,因此非常需要可扩展性和效率。在解决方案中考虑了混合技术,该解决方案同时保证效率和可扩展性。本文基于其感兴趣的域来介绍节点的语义聚类,以形成名为联合的组。它提出了一种基于使用SKOS轻量级本体的语义Web技术构建联合和三层覆盖网络的新进程,用于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合。我们向领导者的联合提供了一种可扩展性和容错的过程,这最大限度地减少了在更新信息的信息过程中领导者之间的开销。

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