Fault Tolerant Approaches through Scheduling in Cloud Computing Environment - A State of Art


  • M. Shanmugasundaram School of Electronics Engineering, VIT University, Vellore, Tamilnadu, India
  • R. Kumar WIPRO Technologies, Chennai, Tamilnadu, India.
  • Kittur H M School of Electronics Engineering, VIT University, Vellore, Tamilnadu, India


Cloud Computing, Scheduling, Fault Tolerance, Virtual Machine,


Based on pay-as-per-usage policy, there is a tremendous use of cloud computing in scientific society like bio-medical, healthcare and online financial applications. Fault tolerance is one of the biggest challenges to guarantee the reliability and availability of critical services. We must make the system to avail by minimizing the impact of failure. In this paper, we conducted a comparative analysis of various approaches for tolerating faults through scheduling in cloud computing environment based on their policies. The goal of this paper is not only used to analyze the existing methods, but also to identify the areas needed for future research.


Ji Wang, Weidong Bao, Xiaomin Zhu, Laurence T. Yang and Yang Xiang, “FESTAL: Fault-Tolerant Elastic Scheduling Algorithm for Real-Time Tasks in Virtualized Clouds”, IEEE Transactions On Computers, Vol. 64, No. 9, September 2015 pp. 2545 – 2558.

Yue Gao, Sandeep K.Gupta, Yanzhi Wang and Maasoud Pedram, “An Energy-Aware Fault Tolerant Scheduling Framework for Soft Error Resilient Cloud Computing Systems”, Design, Automation & Test in Europe Conference & Exhibition (DATE), 24-28 March 2014, Dresden, pp. 1 – 6.

Ji Wang, Xiaomin Zhu, and Weidong Bao, “Real-Time Fault-Tolerant Scheduling Based on Primary-Backup Approach in Virtualized Clouds”, IEEE International Conference on High Performance Computing and Communications, 13 – 15 November 2013,China, pp: 1127 – 1134.

Yi Hu, Bin Gong and Fengyu Wang, “Cloud Model based Security Aware and Fault tolerant Job Scheduling for Computing Grid”, The fifth China Grid Conference.

R. Raju, J. Aumdhavel, M.Pavithra, S. Anuja and B. Abinaya, “ A Heuristic Fault Tolerant MapReduce Framework for Minimizing Makespan in Hybrid Cloud Environment”, Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on 6-8 March 2014, Coimbatore, pp 1 – 4.

Bryan Mills, Taieb Znati and Rami Melhem, “Shadow Computing: An Energy-Aware Fault Tolerant Computing Model”, 2014 International Conference on Computing, Networking and Communications (ICNG).

R.K. Yadav, Veena Kushwaha, “An Energy Preserving and Fault Tolerant Task Scheduler in Cloud Computing”, IEEE International Conference on Advances in Engineering & Technology Research (ICAETR - 2014), August 01-02, 2014, Dr. Virendra Swarup Group of Institutions, Unnao, India.

Prakash Kumar, Krishna Gopal and J P Gupta, “Fault Aware Honey Bee Scheduling Algorithm for Cloud Infrastructure”, Confluence 2013: The Next Generation Information Technology Summit (4th International Conference) - IET, 26-27 Sept. 2013, Noida, pp 133-137.

Simy Antony, Soumya Antony, Ajeena Beegom A S and Rajasree M S, “Task Scheduling Algorithm with Fault Tolerance for Cloud”, 2012 International Conference on Computing Sciences.

M. Shanmugasundaram, R. Kumar and Kittur Harish Mallikarjun, “Approaches for Transient Fault Tolerance in Multiprocessor - A State of Art ", Indian Journal of Science and Technology, Vol 8(15), 55793, July 2015 ISSN (Online) : 0974-5645




How to Cite

Shanmugasundaram, M., Kumar, R., & H M, K. (2017). Fault Tolerant Approaches through Scheduling in Cloud Computing Environment - A State of Art. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2), 29–33. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1034