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Semantic-Based Scalable Decentralized Grid Resource Discovery

Mahamat Issa , Hassan and Azween, Abdullah (2009) Semantic-Based Scalable Decentralized Grid Resource Discovery. In: The 2009 International Joint Conferences on e-CASE and e-Technology, January 8-10, 2009 Grand Copthorne Waterfront Hotel, Singapore.

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Abstract

Resource Discovery (RD) is a key issue in Grid systems since resource reservation and task scheduling are based on it. RD is about locating an appropriate resource type that matches the user’s application requirements. Currently most Grid RDs adopt a centralized or hierarchical model. However, this model is characterized by poor scalability, dynamism and load-balancing features. Moreover, they do not support semantic description and discovery. This paper proposes a new semantic based scalable decentralized Grid RD model. Grid nodes are classified into classes based on some criteria; each class has a head which is elected among its own class nodes/members. Two Peer-to-Peer (P2P) network layers are used; the first one to connect between the class heads and the second between each class members. Ontology is used to describe the resources, applications and their relationships. We introduce two kind of intelligent agents; Request Agent (RA) and Description Agent (DA). Each node has both of the agents. DA describes resource capabilities, and RA carries resource requests that are needed for some applications. We develop a RD algorithm that optimizes the search of the resources on the network. Our discussion shows how our model satisfies Grid RD features such as scalability, dynamism, fault tolerance, and interoperability.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:699
Deposited By: Assoc Prof Dr Azween Abdullah
Deposited On:12 Mar 2010 02:34
Last Modified:19 Jan 2017 08:25

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