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 datasets 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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my.upm.eprints.480262016-08-03T04:36:36Z http://psasir.upm.edu.my/id/eprint/48026/ Simulated annealing algorithm for scheduling divisible load in large scale data grids Abdullah, Monir Othman, Mohamed Ibrahim, Hamidah K. Subramaniam, Shamala In many data grid applications, data can be decomposed into multiple independent sub datasets 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 makespan. IEEE 2008 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48026/1/Simulated%20annealing%20algorithm%20for%20scheduling%20divisible%20load%20in%20large%20scale%20data%20grids.pdf Abdullah, Monir and Othman, Mohamed and Ibrahim, Hamidah and K. Subramaniam, Shamala (2008) Simulated annealing algorithm for scheduling divisible load in large scale data grids. In: International Conference on Computer and Communication Engineering 2008 (ICCCE08), 13-15 May 2008, Kuala Lumpur, Malaysia. (pp. 1032-1036). 10.1109/ICCCE.2008.4580765 |
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In many data grid applications, data can be decomposed into multiple independent sub datasets 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 makespan. |
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Conference or Workshop Item |
author |
Abdullah, Monir Othman, Mohamed Ibrahim, Hamidah K. Subramaniam, Shamala |
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Abdullah, Monir Othman, Mohamed Ibrahim, Hamidah K. Subramaniam, Shamala Simulated annealing algorithm for scheduling divisible load in large scale data grids |
author_facet |
Abdullah, Monir Othman, Mohamed Ibrahim, Hamidah K. Subramaniam, Shamala |
author_sort |
Abdullah, Monir |
title |
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_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_sort |
simulated annealing algorithm for scheduling divisible load in large scale data grids |
publisher |
IEEE |
publishDate |
2008 |
url |
http://psasir.upm.edu.my/id/eprint/48026/1/Simulated%20annealing%20algorithm%20for%20scheduling%20divisible%20load%20in%20large%20scale%20data%20grids.pdf http://psasir.upm.edu.my/id/eprint/48026/ |
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1643834052693721088 |
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13.211869 |