Load allocation model for scheduling divisible data grid applications.
Problem statement: In many data grid applications, data can be decomposed into multiple independent sub-datasets and distributed for parallel execution and analysis. Approach: This property had been successfully employed by using Divisible Load Theory (DLT), which had been proved as a powerful tool...
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Science Publications
2009
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my.upm.eprints.154752015-11-24T06:37:00Z http://psasir.upm.edu.my/id/eprint/15475/ Load allocation model for scheduling divisible data grid applications. Abdullah, Monir Othman, Mohamed Ibrahim, Hamidah Subramaniam, Shamala Problem statement: In many data grid applications, data can be decomposed into multiple independent sub-datasets and distributed for parallel execution and analysis. Approach: This property had been successfully employed by using Divisible Load Theory (DLT), which had been proved as a powerful tool for modeling divisible load problems in data-intensive grid. Results: There were some scheduling models had been studied but no optimal solution has been reached due to the heterogeneity of the grids. This study proposed a new optimal load allocation based on DLT model recursive numerical closed form solutions are derived to find the optimal workload assigned to the processing nodes. Conclusion/Recommendations: Experimental results showed that the proposed model obtained better solution than other models (almost optimal) in terms of Makespan. Science Publications 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/15475/1/Load%20allocation%20model%20for%20scheduling%20divisible%20data%20grid%20applications.pdf Abdullah, Monir and Othman, Mohamed and Ibrahim, Hamidah and Subramaniam, Shamala (2009) Load allocation model for scheduling divisible data grid applications. Journal of Computer Science, 5 (10). pp. 760-763. ISSN 1549-3636 English |
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Problem statement: In many data grid applications, data can be decomposed into multiple independent sub-datasets and distributed for parallel execution and analysis. Approach: This property had been successfully employed by using Divisible Load Theory (DLT), which had been proved as a
powerful tool for modeling divisible load problems in data-intensive grid. Results: There were some scheduling models had been studied but no optimal solution has been reached due to the heterogeneity of the grids. This study proposed a new optimal load allocation based on DLT model recursive numerical closed form solutions are derived to find the optimal workload assigned to the processing
nodes. Conclusion/Recommendations: Experimental results showed that the proposed model obtained better solution than other models (almost optimal) in terms of Makespan. |
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Article |
author |
Abdullah, Monir Othman, Mohamed Ibrahim, Hamidah Subramaniam, Shamala |
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Abdullah, Monir Othman, Mohamed Ibrahim, Hamidah Subramaniam, Shamala Load allocation model for scheduling divisible data grid applications. |
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Abdullah, Monir Othman, Mohamed Ibrahim, Hamidah Subramaniam, Shamala |
author_sort |
Abdullah, Monir |
title |
Load allocation model for scheduling divisible data grid applications. |
title_short |
Load allocation model for scheduling divisible data grid applications. |
title_full |
Load allocation model for scheduling divisible data grid applications. |
title_fullStr |
Load allocation model for scheduling divisible data grid applications. |
title_full_unstemmed |
Load allocation model for scheduling divisible data grid applications. |
title_sort |
load allocation model for scheduling divisible data grid applications. |
publisher |
Science Publications |
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2009 |
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http://psasir.upm.edu.my/id/eprint/15475/1/Load%20allocation%20model%20for%20scheduling%20divisible%20data%20grid%20applications.pdf http://psasir.upm.edu.my/id/eprint/15475/ |
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