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The Scientific World Journal
Volume 2015 (2015), Article ID 791058, 11 pages
http://dx.doi.org/10.1155/2015/791058
Research Article

Efficient Scheduling of Scientific Workflows with Energy Reduction Using Novel Discrete Particle Swarm Optimization and Dynamic Voltage Scaling for Computational Grids

1Ponjesly College of Engineering, Nagercoil, Tamil Nadu 629003, India
2National Engineering College, Kovilpatti, Tamil Nadu 628503, India
3HPCCloud Research Laboratory, St. Xavier’s Catholic College of Engineering, Chunkankadai, Tamil Nadu 629003, India

Received 29 September 2014; Accepted 4 March 2015

Academic Editor: Kuo-Ching Ying

Copyright © 2015 M. Christobel et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

M. Christobel, S. Tamil Selvi, and Shajulin Benedict, “Efficient Scheduling of Scientific Workflows with Energy Reduction Using Novel Discrete Particle Swarm Optimization and Dynamic Voltage Scaling for Computational Grids,” The Scientific World Journal, vol. 2015, Article ID 791058, 11 pages, 2015. doi:10.1155/2015/791058