Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)

Third International Conference on Recent Advances in Computing Sciences (RACS 2025)

📍Phagwara, India🗓️ 25-26 April 2025

A Review on Cloud-Based Disaster Recovery and Management System

Authors
Sahil Rampal1, *, Archie Sinha1, Amit Kumar Tiwari1, Syed Asif Akhoon1
1School of Computer Application, Lovely Professional University, Phagwara, Punjab, India
*Corresponding author. Email: sahil.rampal@gmail.com
Corresponding Author
Sahil Rampal
Available Online 7 September 2026.
DOI
10.2991/978-94-6239-768-2_13How to use a DOI?
Keywords
Cloud Technology; Catastrophe Recovery Management; Data Encryption; Secure Cloud Backup; AI-Driven Disaster Recovery; Multi-Cloud Architecture
Abstract

Both natural catastrophes and human-created emergencies introduce significant operational disruptions across technological systems. Within information security frameworks, disaster recovery technologies play a vital role in safeguarding data during crisis events. These frameworks encompass diverse methodological approaches and tools designed to help organizations recover after disruptive incidents, highlighting the critical nature of strategic recovery planning. While examining various recovery methodologies in both conventional and cloud environments, this study provides evidence supporting cloud-based solutions are better over traditional approaches. Our review demonstrates that cloud implementations offer enhanced business continuity capabilities, significantly faster recovery periods, and more economical operating costs. This paper introduces an innovative virtual private disaster recovery architecture specifically designed for cloud environments, which researchers have evaluated through industry-centric Recovery Time Objective and Recovery Point Objective measurement criteria. Technology professionals have assessed various frameworks and confirmed its effectiveness in addressing security concerns, meeting business continuity requirements, and enabling swift organizational recovery from disruptions. Additionally, we provide a comprehensive examination of available cloud service offerings and demonstrate the key benefits of implementing recovery management approaches.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

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Volume Title
Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)
Series
Advances in Intelligent Systems Research
Publication Date
7 September 2026
ISBN
978-94-6239-768-2
ISSN
1951-6851
DOI
10.2991/978-94-6239-768-2_13How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

Cite this article

TY  - CONF
AU  - Sahil Rampal
AU  - Archie Sinha
AU  - Amit Kumar Tiwari
AU  - Syed Asif Akhoon
PY  - 2026
DA  - 2026/09/07
TI  - A Review on Cloud-Based Disaster Recovery and Management System
BT  - Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)
PB  - Atlantis Press
SP  - 115
EP  - 128
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-768-2_13
DO  - 10.2991/978-94-6239-768-2_13
ID  - Rampal2026
ER  -