DOI: 10.5176/978-981-08-7656-2 A-32
Authors: Abdul Khalique Shaikh, Saadat M. Alhashmi, Rajendran Parthiban
Abstract:
Grid computing can be used to aggregate physical and logical resources for executing compute-intensive
applications. However, due to the heterogeneous and dynamic nature of computational Grid systems, efficient
resource discovery is a very challenging issue. Agents can be used to enhance resource discovery processes, since
they are distributed in nature and autonomous and intelligent in behavior. Furthermore, agents can interact with
neighboring agents based on local knowledge and move along predetermined routes autonomously on behalf of a
user. Ontology can provide benefits in a resource discovery mechanism. These benefits include enhancement of
interoperability, quality of information, accuracy and efficiency. In this paper, we propose a comprehensive solution
for a decentralized resource discovery process by improving the ontological framework. This proposed work is
based on extending the combined semantic and agent approaches. The aim of this research is to extend and develop
the decentralized agent and semantic-based resource discovery process to improve the performance and maximize
the utilization of resources in a computational Grid. Preliminary simulations carried out using the proposed approach
show more tasks being accepted for complex jobs. Consequently, this approach could be useful in increasing the
utilization of resources in a Grid Computing environment.
Keywords: Grid Computing, Resource Discovery, Semantic Technology, Multi-agent system, Ontology
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