A new load balancing scheduling model in data grid application

Scheduling an application in data grid is significantly complex and very challenging because of its heterogeneous in nature of the grid system. Thus, Divisible Load Theory (DLT) is a powerful model for modeling data intensive grid problem where both communication and computation load is partitionabl...

Full description

Bibliographic Details
Main Authors: Kaid, Monir Abdullah Abduh, Othman, Mohamed, Ibrahim, Hamidah, K. Subramaniam, Shamala
Format: Conference or Workshop Item
Language:English
Published: IEEE 2008
Online Access:http://psasir.upm.edu.my/id/eprint/47733/
http://psasir.upm.edu.my/id/eprint/47733/1/A%20new%20load%20balancing%20scheduling%20model%20in%20data%20grid%20application.pdf
_version_ 1848850891222810624
author Kaid, Monir Abdullah Abduh
Othman, Mohamed
Ibrahim, Hamidah
K. Subramaniam, Shamala
author_facet Kaid, Monir Abdullah Abduh
Othman, Mohamed
Ibrahim, Hamidah
K. Subramaniam, Shamala
author_sort Kaid, Monir Abdullah Abduh
building UPM Institutional Repository
collection Online Access
description Scheduling an application in data grid is significantly complex and very challenging because of its heterogeneous in nature of the grid system. Thus, Divisible Load Theory (DLT) is a powerful model for modeling data intensive grid problem where both communication and computation load is partitionable. Previously, Task Data Present (TDP) model was proposed based on DLT model. This paper presents an Adaptive TDP (ATDP) model to reduce the makespan. New equations for calculating the load allocation are derived. Experimental results showed that the proposed model can balance the load efficiently.
first_indexed 2025-11-15T10:13:29Z
format Conference or Workshop Item
id upm-47733
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T10:13:29Z
publishDate 2008
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling upm-477332019-05-28T07:35:58Z http://psasir.upm.edu.my/id/eprint/47733/ A new load balancing scheduling model in data grid application Kaid, Monir Abdullah Abduh Othman, Mohamed Ibrahim, Hamidah K. Subramaniam, Shamala Scheduling an application in data grid is significantly complex and very challenging because of its heterogeneous in nature of the grid system. Thus, Divisible Load Theory (DLT) is a powerful model for modeling data intensive grid problem where both communication and computation load is partitionable. Previously, Task Data Present (TDP) model was proposed based on DLT model. This paper presents an Adaptive TDP (ATDP) model to reduce the makespan. New equations for calculating the load allocation are derived. Experimental results showed that the proposed model can balance the load efficiently. IEEE 2008 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47733/1/A%20new%20load%20balancing%20scheduling%20model%20in%20data%20grid%20application.pdf Kaid, Monir Abdullah Abduh and Othman, Mohamed and Ibrahim, Hamidah and K. Subramaniam, Shamala (2008) A new load balancing scheduling model in data grid application. In: 3rd International Symposium on Information Technology (ITSim'08), 26-28 Aug. 2008, Kuala Lumpur, Malaysia. . 10.1109/ITSIM.2008.4631614
spellingShingle Kaid, Monir Abdullah Abduh
Othman, Mohamed
Ibrahim, Hamidah
K. Subramaniam, Shamala
A new load balancing scheduling model in data grid application
title A new load balancing scheduling model in data grid application
title_full A new load balancing scheduling model in data grid application
title_fullStr A new load balancing scheduling model in data grid application
title_full_unstemmed A new load balancing scheduling model in data grid application
title_short A new load balancing scheduling model in data grid application
title_sort new load balancing scheduling model in data grid application
url http://psasir.upm.edu.my/id/eprint/47733/
http://psasir.upm.edu.my/id/eprint/47733/
http://psasir.upm.edu.my/id/eprint/47733/1/A%20new%20load%20balancing%20scheduling%20model%20in%20data%20grid%20application.pdf