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The Scientific World Journal
Volume 2016 (2016), Article ID 3896065, 14 pages
http://dx.doi.org/10.1155/2016/3896065
Research Article

Load Balancing in Cloud Computing Environment Using Improved Weighted Round Robin Algorithm for Nonpreemptive Dependent Tasks

Ramanujam Computing Centre, Anna University, Chennai 600 025, India

Received 29 November 2015; Accepted 21 December 2015

Academic Editor: Chin-Chia Wu

Copyright © 2016 D. Chitra Devi and V. Rhymend Uthariaraj. 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.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Ala Arman, “A risk-aware application scheduling model in cloud computing scenarios,” International Journal of Intelligent Systems and Applications, vol. 8, no. 10, pp. 11–20, 2016. View at Publisher · View at Google Scholar
  • Jui-Pin Yang, “Elastic Load Balancing Using Self-Adaptive Replication Management,” IEEE Access, pp. 1–1, 2016. View at Publisher · View at Google Scholar
  • Sambit Kumar Mishra, Deepak Puthal, Bibhudatta Sahoo, Sajay Kumar Jena, and Mohammad S. Obaidat, “An adaptive task allocation technique for green cloud computing,” The Journal of Supercomputing, 2017. View at Publisher · View at Google Scholar
  • Sonam Seth, and Nipur Singh, “Dynamic heterogeneous shortest job first (DHSJF): a task scheduling approach for heterogeneous cloud computing systems,” International Journal of Information Technology, 2018. View at Publisher · View at Google Scholar
  • Mainak Adhikari, and Tarachand Amgoth, “Heuristic-based load-balancing algorithm for IaaS cloud,” Future Generation Computer Systems, vol. 81, pp. 156–165, 2018. View at Publisher · View at Google Scholar
  • Eiman Iranpour, and Saeed Sharifian, “A distributed load balancing and admission control algorithm based on Fuzzy type-2 and Game theory for large-scale SaaS cloud architectures,” Future Generation Computer Systems, 2018. View at Publisher · View at Google Scholar
  • Mokhtar A. Alworafi, and Suresha Mallappa, “An Enhanced Task Scheduling in Cloud Computing Based on Deadline-Aware Model,” International Journal of Grid and High Performance Computing, vol. 10, no. 1, pp. 31–53, 2018. View at Publisher · View at Google Scholar