A new rough set based approach for optimized detection of available resources in Grid computing

Since the Grid is a dynamic environment, the prediction and detection of available resources in near future is important for resource scheduling. Economic-based grid management has been viewed as a feasible approach to carry out fair, efficient and reliable scheduling. One key issue in Economic-base...

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Main Authors: Bouyer, A., Noor, M., Abdullah, A. H.
Format: Article
Published: IEEE Xplore 2009
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Online Access:http://eprints.utm.my/id/eprint/11835/
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05267209
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spelling my.utm.118352017-09-07T04:08:30Z http://eprints.utm.my/id/eprint/11835/ A new rough set based approach for optimized detection of available resources in Grid computing Bouyer, A. Noor, M. Abdullah, A. H. HB Economic Theory Since the Grid is a dynamic environment, the prediction and detection of available resources in near future is important for resource scheduling. Economic-based grid management has been viewed as a feasible approach to carry out fair, efficient and reliable scheduling. One key issue in Economic-based grid strategy is to inform about available resources. In this paper, we present a novel predictable method to specify available resource in economic-based grid. This method use a rough set analysis by scheduler to divide resources in groups and then grant a priority to each group based on cost price and efficiency of nodes. The result show that our proposed method has an acceptable performance and it try to use cheaper and suitable resources for each job to decrease cost price of computation IEEE Xplore 2009 Article PeerReviewed Bouyer, A. and Noor, M. and Abdullah, A. H. (2009) A new rough set based approach for optimized detection of available resources in Grid computing. 2009 International Conference on Information and Communication Technologies, ICICT 2009. (Article no. 5267209) . pp. 77-82. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05267209
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic HB Economic Theory
spellingShingle HB Economic Theory
Bouyer, A.
Noor, M.
Abdullah, A. H.
A new rough set based approach for optimized detection of available resources in Grid computing
description Since the Grid is a dynamic environment, the prediction and detection of available resources in near future is important for resource scheduling. Economic-based grid management has been viewed as a feasible approach to carry out fair, efficient and reliable scheduling. One key issue in Economic-based grid strategy is to inform about available resources. In this paper, we present a novel predictable method to specify available resource in economic-based grid. This method use a rough set analysis by scheduler to divide resources in groups and then grant a priority to each group based on cost price and efficiency of nodes. The result show that our proposed method has an acceptable performance and it try to use cheaper and suitable resources for each job to decrease cost price of computation
format Article
author Bouyer, A.
Noor, M.
Abdullah, A. H.
author_facet Bouyer, A.
Noor, M.
Abdullah, A. H.
author_sort Bouyer, A.
title A new rough set based approach for optimized detection of available resources in Grid computing
title_short A new rough set based approach for optimized detection of available resources in Grid computing
title_full A new rough set based approach for optimized detection of available resources in Grid computing
title_fullStr A new rough set based approach for optimized detection of available resources in Grid computing
title_full_unstemmed A new rough set based approach for optimized detection of available resources in Grid computing
title_sort new rough set based approach for optimized detection of available resources in grid computing
publisher IEEE Xplore
publishDate 2009
url http://eprints.utm.my/id/eprint/11835/
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05267209
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score 13.211869