Fault-tolerance scheduling by using rough set based multi-checkpointing on economic grids
Grid scheduling process is a main factor that affects system performance. If the grid scheduler is enabled to selecting proper resources and determining order of tasks in queue, each task is executed without missing their deadline and extra faults; and consequently, the response time of job is decre...
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my.utm.144282011-08-26T05:00:43Z http://eprints.utm.my/id/eprint/14428/ Fault-tolerance scheduling by using rough set based multi-checkpointing on economic grids Bouyer, Asgarali Abdullah, Abdul Hanan Ebrahimpour, Hasan Nasrollahi, Firouz QA75 Electronic computers. Computer science Grid scheduling process is a main factor that affects system performance. If the grid scheduler is enabled to selecting proper resources and determining order of tasks in queue, each task is executed without missing their deadline and extra faults; and consequently, the response time of job is decreased. Since the grid uses heterogeneous resources, the possibility of failure occurrence in those resources should be considered. Predicting some information for doing a better scheduling based on previous information can be vital. In this paper, we applied an optimal multi reservation technique to achieve a fault tolerant scheduling in economic-based grid with respect to optimized cost price, and minimum latency by applying rough set theory. The experimental results show a hopeful method with acceptable completion time and cost price beside of fault-tolerance criteria. Elsevier BV 2009 Book Section PeerReviewed Bouyer, Asgarali and Abdullah, Abdul Hanan and Ebrahimpour, Hasan and Nasrollahi, Firouz (2009) Fault-tolerance scheduling by using rough set based multi-checkpointing on economic grids. In: 2009 International Conference on Computational Science and Engineering. Article number 5283105, 1 . Elsevier BV, pp. 103-109. ISBN 978-076953823-5 http://dx.doi.org/10.1109/CSE.2009.400 doi:10.1109/CSE.2009.400 |
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QA75 Electronic computers. Computer science Bouyer, Asgarali Abdullah, Abdul Hanan Ebrahimpour, Hasan Nasrollahi, Firouz Fault-tolerance scheduling by using rough set based multi-checkpointing on economic grids |
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Grid scheduling process is a main factor that affects system performance. If the grid scheduler is enabled to selecting proper resources and determining order of tasks in queue, each task is executed without missing their deadline and extra faults; and consequently, the response time of job is decreased. Since the grid uses heterogeneous resources, the possibility of failure occurrence in those resources should be considered. Predicting some information for doing a better scheduling based on previous information can be vital. In this paper, we applied an optimal multi reservation technique to achieve a fault tolerant scheduling in economic-based grid with respect to optimized cost price, and minimum latency by applying rough set theory. The experimental results show a hopeful method with acceptable completion time and cost price beside of fault-tolerance criteria.
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format |
Book Section |
author |
Bouyer, Asgarali Abdullah, Abdul Hanan Ebrahimpour, Hasan Nasrollahi, Firouz |
author_facet |
Bouyer, Asgarali Abdullah, Abdul Hanan Ebrahimpour, Hasan Nasrollahi, Firouz |
author_sort |
Bouyer, Asgarali |
title |
Fault-tolerance scheduling by using rough set based multi-checkpointing on economic grids
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title_short |
Fault-tolerance scheduling by using rough set based multi-checkpointing on economic grids
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title_full |
Fault-tolerance scheduling by using rough set based multi-checkpointing on economic grids
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title_fullStr |
Fault-tolerance scheduling by using rough set based multi-checkpointing on economic grids
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title_full_unstemmed |
Fault-tolerance scheduling by using rough set based multi-checkpointing on economic grids
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title_sort |
fault-tolerance scheduling by using rough set based multi-checkpointing on economic grids |
publisher |
Elsevier BV |
publishDate |
2009 |
url |
http://eprints.utm.my/id/eprint/14428/ http://dx.doi.org/10.1109/CSE.2009.400 |
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1643646391695704064 |