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A Comparative Study of Energy-Efficient Fault Tolerance Techniques in Cloud Computing
Shelly Prakash1, Vaibhav Vyas2

1Shelly Prakash, Department of Computer Science, Banasthali University, Tonk (Rajasthan), India.

2Dr. Vaibhav Vyas, Department of Computer Science, Banasthali University, Tonk (Rajasthan), India.  

Manuscript received on 01 May 2024 | First Revised Manuscript received on 13 May 2024 | Second Revised Manuscript received on 26 January 2025 | Manuscript Accepted on 15 February 2025 | Manuscript published on 28 February 2025 | PP: 5-12 | Volume-12 Issue-2, February 2025 | Retrieval Number: 100.1/ijies.F109111060624 | DOI: 10.35940/ijies.F1091.12020225

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: With the expansion of cloud computing, ensuring fault tolerance while optimizing energy consumption has become paramount. This paper conducts a comprehensive review of energy-efficient fault tolerance (FT) techniques in cloud computing environments. By analyzing various strategies, mechanisms, and algorithms, this paper aims to provide insights into the state-of-the-art approaches for achieving fault tolerance while minimizing energy consumption. The comparative analysis includes an examination of different FT techniques based on their energy efficiency, reliability, scalability, overhead, and applicability in cloud computing environments. The findings contribute to the understanding of energy-efficient FT techniques and offer guidance for researchers and practitioners in selecting suitable approaches for their specific cloud computing requirements.

Keywords: Cloud Computing, Fault Tolerance, Energy Efficiency, Comparative Analysis, Replication Techniques, Checkpointing, Rollback Recovery, Hybrid Approaches, Reliability, Scalability, Overhead, Sustainability, Resilience, Energy Consumption Metrics.
Scope of the Article: Computer Science and Applications