Closed form solution for scheduling arbitrarily divisible load model in data grid applications: multiple sources

Scheduling an application in data grid was significantly complex and very challenging because of its heterogeneous in nature of the grid system. When the Divisible Load Theory (DLT) model had emerged as a powerful model for modeling data-intensive grid problem, Task Data Present(TDP) model was propo...

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Main Authors: Abdullah, Monir, Othman, Mohamed, Ibrahim, Hamidah, K. Subramaniam, Shamala
Format: Article
Language:English
Published: Science Publications 2009
Online Access:http://psasir.upm.edu.my/id/eprint/13613/
http://psasir.upm.edu.my/id/eprint/13613/1/ajassp.2009.626.630.pdf
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author Abdullah, Monir
Othman, Mohamed
Ibrahim, Hamidah
K. Subramaniam, Shamala
author_facet Abdullah, Monir
Othman, Mohamed
Ibrahim, Hamidah
K. Subramaniam, Shamala
author_sort Abdullah, Monir
building UPM Institutional Repository
collection Online Access
description Scheduling an application in data grid was significantly complex and very challenging because of its heterogeneous in nature of the grid system. When the Divisible Load Theory (DLT) model had emerged as a powerful model for modeling data-intensive grid problem, Task Data Present(TDP) model was proposed based on it. This study presented a new Adaptive TDP (ATDP) for scheduling the intensive grid applications. New closed form solution for obtaining the load allocation was derived while computation speeds and communication links are heterogeneous. Experimental results showed that the proposed model can balance the load efficiently.
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publishDate 2009
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spelling upm-136132017-11-23T05:01:57Z http://psasir.upm.edu.my/id/eprint/13613/ Closed form solution for scheduling arbitrarily divisible load model in data grid applications: multiple sources Abdullah, Monir Othman, Mohamed Ibrahim, Hamidah K. Subramaniam, Shamala Scheduling an application in data grid was significantly complex and very challenging because of its heterogeneous in nature of the grid system. When the Divisible Load Theory (DLT) model had emerged as a powerful model for modeling data-intensive grid problem, Task Data Present(TDP) model was proposed based on it. This study presented a new Adaptive TDP (ATDP) for scheduling the intensive grid applications. New closed form solution for obtaining the load allocation was derived while computation speeds and communication links are heterogeneous. Experimental results showed that the proposed model can balance the load efficiently. Science Publications 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/13613/1/ajassp.2009.626.630.pdf Abdullah, Monir and Othman, Mohamed and Ibrahim, Hamidah and K. Subramaniam, Shamala (2009) Closed form solution for scheduling arbitrarily divisible load model in data grid applications: multiple sources. American Journal of Applied Sciences, 6 (4). pp. 626-630. ISSN 1546-9239; ESSN: 1554-3641 http://thescipub.com/html/10.3844/ajassp.2009.626.630 10.3844/ajassp.2009.626.630
spellingShingle Abdullah, Monir
Othman, Mohamed
Ibrahim, Hamidah
K. Subramaniam, Shamala
Closed form solution for scheduling arbitrarily divisible load model in data grid applications: multiple sources
title Closed form solution for scheduling arbitrarily divisible load model in data grid applications: multiple sources
title_full Closed form solution for scheduling arbitrarily divisible load model in data grid applications: multiple sources
title_fullStr Closed form solution for scheduling arbitrarily divisible load model in data grid applications: multiple sources
title_full_unstemmed Closed form solution for scheduling arbitrarily divisible load model in data grid applications: multiple sources
title_short Closed form solution for scheduling arbitrarily divisible load model in data grid applications: multiple sources
title_sort closed form solution for scheduling arbitrarily divisible load model in data grid applications: multiple sources
url http://psasir.upm.edu.my/id/eprint/13613/
http://psasir.upm.edu.my/id/eprint/13613/
http://psasir.upm.edu.my/id/eprint/13613/
http://psasir.upm.edu.my/id/eprint/13613/1/ajassp.2009.626.630.pdf