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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64817
Volume:
10 |
6 |
Jun 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Computer Science Engineering
Galgotias University
Department of Computer Science Engineering
Galgotias University
Multi-Cloud Disaster Recovery Architecture Abstract Cloud computing is one of the most significant technologies that are currently utilized by companies to store information and implement applications. It provides companies with the benefit of scalability, resource flexibility and lower cost of physical infrastructure maintenance. Nevertheless, the complete dependence of a set of cloud service providers on one cloud service entity is dangerous to the overall system since cloud crashes may occur at any given moment. These failures can be the result of outage, cyberattacks, network errors, misconfiguration, service disruption or even natural disasters. This can result in significant downtimes and customer lost trust, loss of business and incurring of losses. A famous solution that assists in restoring data and applications in case of failures is Disaster Recovery (DR), so that services could be provided with the minimum number of delays. Multi-Cloud Disaster Recovery Architecture is a better way to improve the traditional DR by adopting more than a single cloud platform. Under this architecture, a single cloud serves as the main active environment and another cloud serves as a disaster recovery (DR) computer that contains replicated data and has resources available to recover. In case the main cloud goes offline, the traffic and workloads can be shifted to the second cloud in order to continue with operations within a very short period. The paper provides a human-readable and elaborate description of the multi-cloud disaster recovery architecture, the operating mechanism, significant components, recovery plan, and the most essential recovery metrics like Recovery Time Objective (RTO) and Recovery Point Objective (RPO). It also outlines such significant benefits as high availability, fault tolerance, and decreased dependency on the vendor as well as more practical obstacles as the expenses, complex administration, interoperability challenges, and security concerns between several cloud vendors. The paper concludes that multi-cloud disaster recovery is an efficient and realistic strategy to develop highly available and reliable cloudbased solutions in current digital worlds. Keywords: MultiCloud Disaster Recovery, Cloud Computing, High Availability, Fault Tolerance, Data Replication, Automated Failover, Business Continuity.
KEYWORDS
The multi-cloud disaster recovery architecture is a sound and viable methodology of ensuring the high availability, fault tolerance, and the continuity of business in the modern cloud systems. It reduces the chances of being dependent on one cloud and allows replication and recovery faster in case of failure with replication, monitoring, traffic control, and automated failover [7], [11], [14]. The cost and complexity of management remain issues, yet the multi-cloud DR may be of great benefit to the critical systems. The new changes may be oriented to better automation, successful provisioning, crosscloud security, and replication latency reduction [12], [15]. All in all, multi-cloud DR is an imperative method of developing reliable cloud programs during the current digital era.
[1] S. Grover, M. Bajaj, and A. Verma, “A survey on disaster recovery strategies in cloud computing,” International Journal of Computer Applications, vol. 144, no. 9, pp. 1–6, 2016. [2] A. Ahmed and A. N. Khan, “Cloud computing security issues and challenges: A survey,” International Journal of Computer Networks and Communications Security, vol. 4, no. 3, pp. 56–62, 2016. [3] Amazon Web Services, “Disaster Recovery of Workloads on AWS,” AWS Whitepaper, 2017. [4] M. A. Vouk, “Cloud computing—Issues, research and implementations,” Journal of Computing and Information Technology, vol. 24, no. 4, pp. 235–246, 2017. [5] R. A. Rashid and N. A. M. Isa, “Review on cloud disaster recovery planning and solutions,” International Journal of Advanced Computer Science and Applications, vol. 9, no. 6, pp. 1–9, 2018. [6] S. Singh and I. Chana, “Cloud resource provisioning: Survey, status and future research directions,” Knowledge and Information Systems, vol. 49, pp. 1005–1069, 2019. [7] A. A. Khan, M. Zakarya, and R. Ahmad, “Multi-cloud computing: A systematic review and future directions,” IEEE Access, vol. 8, pp. 188687–188708, 2020. [8] Google Cloud, “Google Cloud Architecture Framework,” Google Cloud Documentation, 2020. [9] A. K. Bairagi and R. K. Ray, “A comparative study of disaster recovery models in cloud computing,” in Proc. International Conference on Recent Trends in Computing, pp. 210–215, 2021. [10] A. Saboor, M. H. Rehmani, and M. Reisslein, “Edge and cloud computing: A survey on architectures and applications,” IEEE Communications Surveys & Tutorials, vol. 23, no. 2, pp. 1054–1102, 2021.
Publication Date
6/11/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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