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S-MDS: Semantic Monitoring and Discovery System for the Grid

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Abstract

Due to the dynamic characteristics and heterogeneity of Grid resources, effective and accurate Grid resource monitoring and discovery are a challenging problem. To deal with this, the semantic Grid extends the current Grid by giving information and services well-defined meaning through machine-processable descriptions. In this paper, we present a monitoring and discovery system that is based on the semantic Grid built on the top of the WS-Resource Framework. The system provides an infrastructure to create, aggregate, and maintain semantic metadata of Grid resources so that they can be semantically queried using Resource Description Framework query languages such as SPARQL. We present the system architecture and optimization methods to maintain and store the semantic metadata. Through a system implementation based on the Globus Toolkit software, we show the practicality and simplicity of the framework. We also present evaluation results showing the effectiveness and robustness of the system.

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Author notes

  1. Mirza Pahlevi Said

    Present address: Department of Computational Statistics, Institute of Statistics (STIS), Jl. Otista 64c, Jakarta, 13330, Indonesia

Authors and Affiliations

  1. National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8568, Japan

    Mirza Pahlevi Said & Isao Kojima

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  1. Mirza Pahlevi Said
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  2. Isao Kojima
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Correspondence to Mirza Pahlevi Said.

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Said, M.P., Kojima, I. S-MDS: Semantic Monitoring and Discovery System for the Grid. J Grid Computing 7, 205–224 (2009). https://doi.org/10.1007/s10723-008-9111-2

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