Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Asian Journal of Information Technology
Year: 2007  |  Volume: 6  |  Issue: 8  |  Page No.: 859 - 865

Scheduling of Scientific Workflows Using Evolutionary and Threshold Accepting Algorithm for Grids

S. Benedict and V. Vasudevan    

Abstract: Grid computing environment involves all kind of resources namely network, software, data, storage and processing units, evolving towards Global computing to solve a single large problem using Grid scheduling architecture that addresses the interaction between the resource management and data management. In this study, two different approaches have been proposed to solve Grid scheduling problem with the objectives of maximizing the Job Completion Ratio (JCR) and minimizing the lateness. A population based evolutionary algorithm that involves evolution during the search process and a single point local search meta-heuristics that work on a single solution called as hybrid evolutionary algorithm. A Threshold Accepting algorithm (TA) proposed is a single point local search meta-heuristic. Proposed algorithms are evaluated and the experimental results are presented for comparison.

Fulltext    |   Related Articles   |   Back
  Related Articles

Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility