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Fault Aware Dynamic Resource Manager for Fault Recognition and Avoidance in Cloud

Nandhini Jembu Mohanram1,2,*, Gnanasekaran Thangavel3, N. M. Jothi Swaroopan4

1 Information and Communication Engineering Department, Anna University, Chennai, Tamil Nadu, India
2 Department of Information Technology, Sri Sai Ram Institute of Technology, Chennai, Tamil Nadu, India
3 RMK Engineering College, Chennai, Tamil Nadu, India
4 Department of Electrical and Electronics Engineering, RMK Engineering College, Chennai, Tamil Nadu, India

* Corresponding Author: Nandhini Jembu Mohanram. Email: email

Computer Systems Science and Engineering 2021, 38(2), 215-228. https://doi.org/10.32604/csse.2021.015027

Abstract

Fault tolerance (FT) schemes are intended to work on a minimized and static amount of physical resources. When a host failure occurs, the conventional FT frequently proceeds with the execution on the accessible working hosts. This methodology saves the execution state and applications to complete without disruption. However, the dynamicity of open cloud assets is not seen when taking scheduling choices. Existing optimization techniques are intended in dealing with resource scheduling. This method will be utilized for distributing the approaching tasks to the VMs. However, the dynamic scheduling for this procedure doesn’t accomplish the objective of adaptation of internal failure. The scheme prefers jobs in the activity list with the most elevated execution time on resources that can execute in a shorter timeframe, but it suffers with higher makespan; poor resource usage and unbalance load concerns. To overcome the above mentioned issue, Fault Aware Dynamic Resource Manager (FADRM) is proposed that enhances the mechanism to Multi-stage Resilience Manager at an application-level FT arrangement. Proposed FADRM method gives FT a Multi-stage Resilience Manager (MRM) in the client and application layers, and simultaneously decreases the over-head and degradations. It additionally provides safety to the application execution considering the clients, application and framework necessities. Based on experimental evaluations, Proposed Fault Aware Dynamic Resource Manager (FADRM) method 157.5 MakeSpan (MS) time, 0.38 Fault Rate (FR), 0.25 Failure Delay (FD) and improves 5.5 Performance Improvement Ratio (PIR) for 25, 50, 75 and 100 tasks and 475 MakeSpan (MS) time, 0.40 Fault Rate (FR), 1.30 Failure Delay (FD) and improves 6.75 improves Performance Improvement Ratio (PER) for 100, 200, 300 and 500 Tasks compare than existing methodologies.

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Cite This Article

APA Style
Mohanram, N.J., Thangavel, G., Swaroopan, N.M.J. (2021). Fault aware dynamic resource manager for fault recognition and avoidance in cloud. Computer Systems Science and Engineering, 38(2), 215-228. https://doi.org/10.32604/csse.2021.015027
Vancouver Style
Mohanram NJ, Thangavel G, Swaroopan NMJ. Fault aware dynamic resource manager for fault recognition and avoidance in cloud. Comput Syst Sci Eng. 2021;38(2):215-228 https://doi.org/10.32604/csse.2021.015027
IEEE Style
N.J. Mohanram, G. Thangavel, and N.M.J. Swaroopan "Fault Aware Dynamic Resource Manager for Fault Recognition and Avoidance in Cloud," Comput. Syst. Sci. Eng., vol. 38, no. 2, pp. 215-228. 2021. https://doi.org/10.32604/csse.2021.015027



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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