A New Grid Resource Discovery Framework

Mahamat Hassan and Azween Abdullah
 Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Malaysia

Abstract: Resource Discovery is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. The paper integrates ontology, Peer-to-Peer network and intelligent agents to build the framework. The framework consists of an ontology model, an agent model, and a set of algorithms for implementing the P2P architecture and searching the shared resources.  The paper shows how the framework satisfies grid RD features such as scalability, decentralization, dynamism and interoperability.

Keywords: Grid computing, peer-to-peer networks, ontology, and intelligent agent.