• Sep 30, 2024 News!Vol.16, No. 3 has been published with online version.   [Click]
  • Jun 13, 2024 News!Vol.16, No. 2 has been published with online version.   [Click]
  • Mar 26, 2024 News!Vol.16, No. 1 has been published with online version.   [Click]
General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • APC: 500 USD
    • Managing Editor: Ms. Shira. Lu 
    • Abstracting/ Indexing: Inspec (IET), CNKI Google Scholar, EBSCO, ProQuest, Crossref, Ulrich Periodicals Directory, Chemical Abstracts Services (CAS), etc.
    • E-mail: ijet_Editor@126.com
IJET 2011 Vol.3(6): 646-650 ISSN: 1793-8236
DOI: 10.7763/IJET.2011.V3.299

Implementation of Object Oriented Approach to Efficient Task Scheduling in Grid Computing with Modified Ant Algorithm

Chinta Someswara Rao, V. Mnssvkr Gupta, K. V. S. Murthy, and R. Shiva Shankar

Abstract—In today’s pervasive world of needing information anytime and anywhere, the explosive Grid Computing environments have now proven to be so significant that they are often referred to as being the world's single and most powerful computer solutions. So, Resource management and task scheduling are very important and complex problems in grid computing environment. As a matter of fact the complexity and dynamic nature of industrial problems in today's world are much more intensive to satisfy by the more traditional, single computational platform approaches. To full fill this it is necessary to predict resource state to get proper task scheduling. In this paper we propose object oriented modified ANT algorithm is a new heuristic algorithm. The scalability of proposed algorithm is validating by proposing a simple Grid simulation architecture for resource management and task scheduling. The algorithm when implemented in simulation environment produced good results in terms of minimal response time; maximum resource average utilization and task fulfill proportion.

Index Terms—Grid computing, Task scheduling, ANT algorithm, Modified ANT algorithm, Resource management.

Authors are with Department of CSE, SRKR Engineering College affiliated to Andhra University, AP, India (chinta. someswararao @gmail.com).

[PDF]

Cite: Chinta Someswara Rao, V. Mnssvkr Gupta, K. V. S. Murthy, and R. Shiva Shankar, "Implementation of Object Oriented Approach to Efficient Task Scheduling in Grid Computing with Modified Ant Algorithm," International Journal of Engineering and Technology vol. 3, no. 6, pp. 646-650, 2011.

Copyright © 2008-2024. International Journal of Engineering and Technology. All rights reserved. 
E-mail: ijet_Editor@126.com