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Semantic-Based Scalable Decentralized Grid Resource Discovery

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, th...

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主要な著者: Mahamat Issa , Hassan, Azween, Abdullah
フォーマット: Conference or Workshop Item
出版事項: 2009
主題:
QA75 Electronic computers. Computer science
オンライン･アクセス:http://eprints.utp.edu.my/699/1/Semantic-Based_Scalable_Decentralized_Grid_Resource_Discovery.pdf
http://eprints.utp.edu.my/699/
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record_format eprints
spelling my.utp.eprints.6992017-01-19T08:25:30Z Semantic-Based Scalable Decentralized Grid Resource Discovery Mahamat Issa , Hassan Azween, Abdullah QA75 Electronic computers. Computer science 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. 2009-01 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/699/1/Semantic-Based_Scalable_Decentralized_Grid_Resource_Discovery.pdf 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. http://eprints.utp.edu.my/699/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mahamat Issa , Hassan
Azween, Abdullah
Semantic-Based Scalable Decentralized Grid Resource Discovery
description 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.
format Conference or Workshop Item
author Mahamat Issa , Hassan
Azween, Abdullah
author_facet Mahamat Issa , Hassan
Azween, Abdullah
author_sort Mahamat Issa , Hassan
title Semantic-Based Scalable Decentralized Grid Resource Discovery
title_short Semantic-Based Scalable Decentralized Grid Resource Discovery
title_full Semantic-Based Scalable Decentralized Grid Resource Discovery
title_fullStr Semantic-Based Scalable Decentralized Grid Resource Discovery
title_full_unstemmed Semantic-Based Scalable Decentralized Grid Resource Discovery
title_sort semantic-based scalable decentralized grid resource discovery
publishDate 2009
url http://eprints.utp.edu.my/699/1/Semantic-Based_Scalable_Decentralized_Grid_Resource_Discovery.pdf
http://eprints.utp.edu.my/699/
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score 13.251813

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