Improved genetic algorithm for scheduling divisible data grid application

Data Grid technology promises geographically distributed scientists to access and share physically distributed resources such as computing resources, networks, storages, and most importantly data collections for large scale data intensive problems. In many Data Grid applications, Data can be decompo...

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Main Authors: Kaid, Monir Abdullah Abduh, Othman, Mohamed, Ibrahim, Hamidah, K. Subramaniam, Shamala
Format: Conference or Workshop Item
Language:English
Published: IEEE 2007
Online Access:http://psasir.upm.edu.my/id/eprint/48202/
http://psasir.upm.edu.my/id/eprint/48202/1/Improved%20genetic%20algorithm%20for%20scheduling%20divisible%20data%20grid%20application.pdf
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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 Data Grid technology promises geographically distributed scientists to access and share physically distributed resources such as computing resources, networks, storages, and most importantly data collections for large scale data intensive problems. In many Data Grid applications, Data can be decomposed into multiple independent sub datasets and distributed for parallel execution and analysis. In this paper, we exploit this property and propose an Improved Genetic Algorithm (IGA) for scheduling divisible data grid applications. A good heuristic approach used to generate the initial population. Experimental results show that the proposed IGA gives better performance compared to the Genetic Algorithm (GA).
first_indexed 2025-11-15T10:15:30Z
format Conference or Workshop Item
id upm-48202
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T10:15:30Z
publishDate 2007
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling upm-482022016-08-04T05:17:13Z http://psasir.upm.edu.my/id/eprint/48202/ Improved genetic algorithm for scheduling divisible data grid application Kaid, Monir Abdullah Abduh Othman, Mohamed Ibrahim, Hamidah K. Subramaniam, Shamala Data Grid technology promises geographically distributed scientists to access and share physically distributed resources such as computing resources, networks, storages, and most importantly data collections for large scale data intensive problems. In many Data Grid applications, Data can be decomposed into multiple independent sub datasets and distributed for parallel execution and analysis. In this paper, we exploit this property and propose an Improved Genetic Algorithm (IGA) for scheduling divisible data grid applications. A good heuristic approach used to generate the initial population. Experimental results show that the proposed IGA gives better performance compared to the Genetic Algorithm (GA). IEEE 2007 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48202/1/Improved%20genetic%20algorithm%20for%20scheduling%20divisible%20data%20grid%20application.pdf Kaid, Monir Abdullah Abduh and Othman, Mohamed and Ibrahim, Hamidah and K. Subramaniam, Shamala (2007) Improved genetic algorithm for scheduling divisible data grid application. In: IEEE International Conference on Telecommunications and Malaysia International Conference on Communications (ICT-MICC 2007), 14-17 May 2007, Penang, Malaysia. (pp. 461-465). 10.1109/ICTMICC.2007.4448680
spellingShingle Kaid, Monir Abdullah Abduh
Othman, Mohamed
Ibrahim, Hamidah
K. Subramaniam, Shamala
Improved genetic algorithm for scheduling divisible data grid application
title Improved genetic algorithm for scheduling divisible data grid application
title_full Improved genetic algorithm for scheduling divisible data grid application
title_fullStr Improved genetic algorithm for scheduling divisible data grid application
title_full_unstemmed Improved genetic algorithm for scheduling divisible data grid application
title_short Improved genetic algorithm for scheduling divisible data grid application
title_sort improved genetic algorithm for scheduling divisible data grid application
url http://psasir.upm.edu.my/id/eprint/48202/
http://psasir.upm.edu.my/id/eprint/48202/
http://psasir.upm.edu.my/id/eprint/48202/1/Improved%20genetic%20algorithm%20for%20scheduling%20divisible%20data%20grid%20application.pdf