Abstract
Grid is an emerging technology that enables the sharing of a wide variety of resources. However, effective and accurate grid resource matching is difficult because of the dynamic characteristics and heterogeneity of grid resources. Grid resource matching mechanisms that utilize semantic Web technologies have been proposed to deal with this issue, although none support set matching of grid resources based on their semantic description. This paper proposes a novel set-matching algorithm that uses standard RDF query language SPARQL [1] to semantically match a set of grid resources and SPARQL query features to efficiently perform set matching. We evaluated the efficiency and effectiveness of the algorithm by performing a set of experiments and present the results.
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References
Prud’hommeaux, E., Seaborne, A.: SPARQL query language for RDF (2007)
Liu, C., Foster, I.: A Constraint Language Approach to Matchmaking. In: RIDE 2004. Proc. of the 14th International Workshop on Research Issues on Data Engineering: Web Services for E-Commerce and E-Government Applications, pp. 7–14 (2004)
Kojima, I., Said, M.P.: WS-DAI-RDF(S) querying (2006)
Said, M.P., Kojima, I.: Towards Automatic Service Discovery and Monitoring in WS-Resource Framework. In: Proc. of the 1st International Conference on Semantics, Knowledge and Grid, pp. 932–938 (2005)
Raman, R., Livny, M., Solomon, M.: Matchmaking: Distributed resource management for high throughput computing. In: Proc. of the 7th IEEE International Symposium on High Performance Distributed Computing, pp. 140–146 (1998)
Raman, R., Livny, M., Solomon, M.: Policy Driven Heterogeneous Resource Co-Allocation with Gangmatching. In: Proc. of the 12th IEEE Int’l Symp. on High Performance Distributed Computing (HPDC-12), pp. 80–89 (2003)
Tangmunarunkit, H., et al.: Ontology-based Resource Matching in the Grid—The Grid meets the Semantic Web. In: Proc. of SemPG03, vol. 2870, pp. 706–721 (2003)
Said, M.P., Matono, A., Kojima, I.: SPARQL-based OWL-S Service Matchmaking. In: Proc. of 1st International Workshop on Semantic Matchmaking and Resource Retrieval: Issues and Perspectives, pp. 35–50 (2006)
OGSA-DAI-RDF, http://wiki.dbgrid.org/index.php?OGSA-DAI-RDF
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Pahlevi, S.M., Matono, A., Kojima, I. (2008). SPARQL-Based Set-Matching for Semantic Grid Resource Selection. In: ter Hofstede, A., Benatallah, B., Paik, HY. (eds) Business Process Management Workshops. BPM 2007. Lecture Notes in Computer Science, vol 4928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78238-4_47
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DOI: https://doi.org/10.1007/978-3-540-78238-4_47
Publisher Name: Springer, Berlin, Heidelberg
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