[1] Jayadivya S K et al., ”Fault-Tolerant Workflow Scheduling Based on Replication and Resubmission of Tasks in Cloud Computing,” International Journal of Computer Science and Engineering, vol. 4, no. 6, pp. 996-1006, 2012.

[Google Scholar] [Publisher Link]

[2] Sheheryar Malik, and Fabrice Huet, ”Adaptive Fault Tolerance in Real-Time Cloud Computing,” IEEE World Congress on Services, 2011.

[CrossRef] [Google Scholar] [Publisher Link]

[3] R. Surendiran, "Secure Software Framework for Process Improvement," SSRG International Journal of Computer Science and Engineering, vol. 3, no. 12, pp. 19-25, 2016.

[CrossRef] [Google Scholar] [Publisher Link]

[4] Jing Mei et al., “Fault-Tolerant Dynamic Rescheduling for Heterogeneous Computing Systems,” Journal of Grid Computing, pp. 507-525, 2015.

[CrossRef] [Google Scholar] [Publisher Link]

[5] Laiping Zhao, and Kouichi Sakurai, ”A Reliability Analysis Based Scheduling Algorithm inthe Heterogeneous System,” IPSJ SIG Technical Report, 2010.

[Google Scholar]

[6] Qingqing Feng et al., ”Magicube: High Reliability and Low Redundancy Storage Architecture for Cloud Computing,” IEEE Seventh International Conference on Networking, Architecture, and Storage, pp. 89-93, 2012.

[CrossRef] [Google Scholar] [Publisher Link]

[7] Anjali D.Meshram, A.S.Sambare, and S.D.Zade, “Fault Tolerance Model for Reliable Cloud Computing,” International Journal on Recent and Innovation Trends in Computing and Communication, vol. 1, no. 6, pp. 600-603, 2013.

[CrossRef] [Google Scholar] [Publisher Link]

[8] Chaonan Wang et al., ”Processing Time Analysis of Cloud Services With Re-Trying Fault Tolerance Technique,” First IEEE International Conference on Communications in China, pp. 63-67, 2012.

[CrossRef] [Google Scholar] [Publisher Link]

[9] Mohammed El Mehdi Diouri, Olivier Gl¨Uck, and Laurent Lefevre, ” ECOFIT: A Framework to Estimate Energy Consumption of Fault Tolerance Protocols for HPC Applications,” 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, 2013.

[CrossRef] [Google Scholar] [Publisher Link]

[10] Harpreet Kaur, and Amritpal AL Kaur, ”A Survey on Fault Tolerance Techniques in Cloud Computing,” International Journal of Science, Engineering and Technology, 2015.

[Google Scholar] [Publisher Link]

[11] Anju Bala, and Inderveerchana, ”Fault Tolerance- Challenges, Techniques, and Implementation in Cloud Computing,” International Journal of Computer Science Issues, vol. 9, no. 1, 2012.

[Google Scholar] [Publisher Link]

[12] P. Latchoumy, and P. Sheik Abdul Khader, ”Survey on Fault Tolerance in Grid Computing,” International Journal of Computer Science Issues, vol. 2, no. 4, 2011.

[Google Scholar] [Publisher Link]

[13] R. Surendiran, and K. Duraisamy, “An Approach in Semantic Web Information Retrieval,” SSRG International Journal of Electronics and Communication Engineering, vol. 1, no. 1, pp. 17-21, 2014.

[CrossRef] [Google Scholar] [Publisher Link]

[14] Amal Ganesh, M. Sandhya, and Sharmila Shankar, ”A Study on Fault Tolerance Methods in Cloud Computing,” IEEE International Advance Computing Conference (IACC), pp. 844-849, 2014.

[CrossRef] [Google Scholar] [Publisher Link]

[15] Daeyong Jung et al., ”VM Migration for Fault Tolerance in Spot Instance Based Cloud Computing,” International Conference on Grid and Pervasive Computing, pp. 142-151, 2013.

[CrossRef] [Google Scholar] [Publisher Link]

[16] Qi Zhang, Lu Cheng, and Raouf Boutaba, ”Cloud Computing: State-of-Theart and Research Challenges,” Journal of Internet Services and Applications, pp. 7-18, 2010.

[CrossRef] [Google Scholar] [Publisher Link]

[17] Harpreet Kaur, and Amritpal Kaur, “A Survey on Fault Tolerance Techniques in Cloud Computing,” International Journal of Science, Engineering, and Technology, 2015.

[Google Scholar]

[18] P. Sunilgavaskar, and Ch D.V Subbarao, ”A Survey of Distributed Fault Tolerance Strategies,” International Journal of Advanced Research in Computer and Communication Engineering, vol. 2, no. 11, 2013.

[Google Scholar] [Publisher Link]

[19] V. Subburaj et al., “DDos Defense Mechanism By Applying Stamps Using Cryptography,” International Journal of Computer Applications, vol. 1, no. 6, pp. 48-52, 2010.

[Google Scholar]

[20] Virendra Singh Kushwah, Sandip Kumar Goyal, and Priusha Narwariya, “A Survey on Various Fault Tolerant Approaches for Cloud Environment During Load Balancing,” International Journal of Computer Networking, Wireless and Mobile Communications, vol. 4, no. 6, pp. 25-34, 2014.

[Google Scholar] [Publisher Link]

[21] R. Surendiran, "Development of Multi Criteria Recommender System," SSRG International Journal of Economics and Management Studies, vol. 4, no. 1, pp.31-35, 2017.

[CrossRef] [Google Scholar] [Publisher Link]

[22] G. Gayathri, and R. Latha, ”Implementing A Fault Tolerance Enabled Load Balancing Algorithm in the Cloud Computing Environment,” International Journal of Engineering Development and Research, 2017.

[Google Scholar] [Publisher Link]

[23] Jialei Liu et al., “Using Proactive Fault-Tolerance Approach to Enhance Cloud Service Reliability,” IEEE Transaction on Cloud Computing, vol. 6, no. 4, pp. 1191-1202, 2018.

[CrossRef] [Google Scholar] [Publisher Link]

[24] Alain Techana, Laurent Broto, and Daniel Hagimont, ”Fault Tolerance Approaches in Cloud Computing Infrastructures,” The Eight International Conference on Autonomic and Autonomous System, 2012.

[Google Scholar]

[25] Saurabh Kumar Garg, and Rajkumar Buyya, ”Network Cloudsim: Modelling Parallel Applications in Cloud Simulations,” Fourth IEEE International Conference on Utility and Cloud Computing, 2011.

[CrossRef] [Google Scholar] [Publisher Link]

[26] Rodrigo N. Calheiros et al., ”Cloudsim: A Toolkit for Modeling and Simulation of Cloud Computing Environments andEvaluation of Resource Provisioning Algorithms,” Journal of Software: Practice and Experience, vol. 41, no. 1, pp. 23-50, 2010.

[CrossRef] [Google Scholar] [Publisher Link]