Title: Semantic Grid resource discovery based on SKOS ontology

Authors: Nabila Chergui; Salim Chikhi; Tahar Kechadi

Addresses: Department of Computer Science, University Constantine 2, Constantine, Algeria ' Department of Computer Science, University Constantine 2, Constantine, Algeria ' School of Informatics and Computer Science, University College Dublin, Dublin, Ireland

Abstract: In large-scale distributed environments like dynamic Grids, an efficient and scalable resource discovery mechanism is required. Hybrid techniques based on node clustering are considered among solutions that guarantee the efficiency and the scalability at the same time. However, lack of a good representation of nodes in these environments often results in an irrelevant grouping of nodes. Combining hybrid techniques with Semantic Web technologies would bring more benefits to resource discovery. 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 federations and a three-layered overlay network. The proposed process is based on a SKOS lightweight ontology that describes domains of applications in the Grid. We conduct extensive simulations to evaluate the performance of the proposed approach; the experimental results demonstrate its efficiency and its ability to scale up with the system size.

Keywords: resource discovery; grid computing; SKOS; semantic web.

DOI: 10.1504/IJGUC.2017.088255

International Journal of Grid and Utility Computing, 2017 Vol.8 No.4, pp.269 - 281

Received: 02 Mar 2015
Accepted: 29 Aug 2015

Published online: 25 Nov 2017 *

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