Improved genetic algorithm for scheduling divisible data grid application

Citation

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).

Abstract

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).

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/ICTMICC.2007.4448680
Publisher:	IEEE
Keywords:	Data grid; Genetic algorithm; Scheduling
Depositing User:	Nabilah Mustapa
Date Deposited:	04 Aug 2016 05:17
Last Modified:	04 Aug 2016 05:17
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICTMICC.2007.4448680
URI:	http://psasir.upm.edu.my/id/eprint/48202
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