Simulated annealing algorithm for scheduling divisible load in large scale data grids.

In many data grid applications, data can be decomposed into multiple independent sub data sets and distributed for parallel execution and analysis.This property has been successfully exploited using Divisible Load Theory (DLT). Many Scheduling approaches have been studied but there is no optimal sol...

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Main Authors: Abdullah, Monir, Othman, Mohamad, Ibrahim, Hamidah, Subramaniam, Shamala
Format: Article
Language:English
English
Published: International Islamic University Malaysia (IIUM) 2009
Online Access:http://psasir.upm.edu.my/id/eprint/16718/
http://psasir.upm.edu.my/id/eprint/16718/1/Simulated%20annealing%20algorithm%20for%20scheduling%20divisible%20load%20in%20large%20scale%20data%20grids.pdf
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author Abdullah, Monir
Othman, Mohamad
Ibrahim, Hamidah
Subramaniam, Shamala
author_facet Abdullah, Monir
Othman, Mohamad
Ibrahim, Hamidah
Subramaniam, Shamala
author_sort Abdullah, Monir
building UPM Institutional Repository
collection Online Access
description In many data grid applications, data can be decomposed into multiple independent sub data sets and distributed for parallel execution and analysis.This property has been successfully exploited using Divisible Load Theory (DLT). Many Scheduling approaches have been studied but there is no optimal solution. This paper proposes a novel Simulated Annealing (SA) algorithm for scheduling divisible load in large scale data grids. SA algorithm is integrated with DLT model and compared with the previous approaches. Experimental results show that the proposed model obtains better solution in term of make span.
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institution Universiti Putra Malaysia
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language English
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publishDate 2009
publisher International Islamic University Malaysia (IIUM)
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spelling upm-167182015-11-26T08:46:31Z http://psasir.upm.edu.my/id/eprint/16718/ Simulated annealing algorithm for scheduling divisible load in large scale data grids. Abdullah, Monir Othman, Mohamad Ibrahim, Hamidah Subramaniam, Shamala In many data grid applications, data can be decomposed into multiple independent sub data sets and distributed for parallel execution and analysis.This property has been successfully exploited using Divisible Load Theory (DLT). Many Scheduling approaches have been studied but there is no optimal solution. This paper proposes a novel Simulated Annealing (SA) algorithm for scheduling divisible load in large scale data grids. SA algorithm is integrated with DLT model and compared with the previous approaches. Experimental results show that the proposed model obtains better solution in term of make span. International Islamic University Malaysia (IIUM) 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16718/1/Simulated%20annealing%20algorithm%20for%20scheduling%20divisible%20load%20in%20large%20scale%20data%20grids.pdf Abdullah, Monir and Othman, Mohamad and Ibrahim, Hamidah and Subramaniam, Shamala (2009) Simulated annealing algorithm for scheduling divisible load in large scale data grids. IIUM Engineering Journal, 10 (1). 59- 68. ISSN 1511-788X English
spellingShingle Abdullah, Monir
Othman, Mohamad
Ibrahim, Hamidah
Subramaniam, Shamala
Simulated annealing algorithm for scheduling divisible load in large scale data grids.
title Simulated annealing algorithm for scheduling divisible load in large scale data grids.
title_full Simulated annealing algorithm for scheduling divisible load in large scale data grids.
title_fullStr Simulated annealing algorithm for scheduling divisible load in large scale data grids.
title_full_unstemmed Simulated annealing algorithm for scheduling divisible load in large scale data grids.
title_short Simulated annealing algorithm for scheduling divisible load in large scale data grids.
title_sort simulated annealing algorithm for scheduling divisible load in large scale data grids.
url http://psasir.upm.edu.my/id/eprint/16718/
http://psasir.upm.edu.my/id/eprint/16718/1/Simulated%20annealing%20algorithm%20for%20scheduling%20divisible%20load%20in%20large%20scale%20data%20grids.pdf