A Comparative Study of Energy-Efficient Fault Tolerance Techniques in Cloud Computing

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.

Authors

Publication Details

Journal
International Journal of Inventive Engineering and Sciences
Published
2025-02-20
DOI
https://doi.org/10.35940/ijies.f1091.12020225
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
3.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comparative Study of Energy-Efficient Fault Tolerance Techniques in Cloud Computing

Shelly Prakash, Vaibhav Vyas
1 citations
International Journal of Inventive Engineering and Sciences
Cloud Computing and Resource Management
3.25
article

A Comparative Study of Energy-Efficient Fault Tolerance Techniques in Cloud Computing

Shelly Prakash, Vaibhav Vyas
article en
1 citations

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.

International Journal of Inventive Engineering and SciencesVol. 12(2)
Openalex Percentile: Top 11%
Cloud Computing and Resource Management
3.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.