Cloud-Based Disaster Recovery Framework for Enterprise Systems
Abstract
Business continuity is critical for modern enterprises operating in digital environments. This paper presents a cloud-based disaster recovery framework designed to ensure data availability and rapid recovery during system failures or cyberattacks. The framework utilizes distributed backups, virtualization, and automated failover mechanisms to minimize downtime and data loss. Comparative evaluation shows that cloud-based disaster recovery offers higher flexibility, lower implementation costs, and improved recovery time objectives compared to traditional recovery systems. The proposed model supports scalable and resilient enterprise operations in the face of increasing cybersecurity threats and natural disasters.
References
Bellundagi, M. (2023). Integrating Machine Learning with Business Rule Management Systems for Adaptive Enterprise. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8023-8039.
Bellundagi, M. (2023). Design of an Intelligent Clinical Decision Support System Using Machine Learning Techniques. International Journal of Research and Applied Innovations, 6(6), 10075-10081.
Konda, P. R. (2024). AI-DRIVEN CLOUD DATA ANALYTICS FRAMEWORK FOR INTELLIGENT ENTERPRISE DECISION SYSTEMS. Indonasian Journal of Advanced Research & Technology , 6(6). Retrieved from https://scholarlyarticle.vncinstitute.com/index.php/IJART/article/view/70
Konda, P. R. (2024). Intelligent Automation in Enterprise Analytics Through AI and ML-Based Predictive Models. Indonasian Journal of Multidisciplinary Innovations , 6(6). Retrieved from https://scholarlyarticle.vncinstitute.com/index.php/IJMI/article/view/74
Bellundagi, M. (2023). A Secure API Gateway Framework for Enterprise Applications. International Journal of Science, Technology and Convergence, 5(5).
Bellundagi, M. (2022). Cloud-Native Application Development Using Spring Boot. International Journal of Science, Technology and Convergence, 4(4).
Amazon Web Services, “Overview of Cloud Computing,” available at AWS Official Website
Microsoft, “Microsoft Azure Documentation,” available at Microsoft Azure
Google, “Google Cloud Architecture Framework,” available at Google Cloud
Mell, Peter and Grance, Timothy, “The NIST Definition of Cloud Computing,” National Institute of Standards and Technology, 2011.
IEEE, “Cloud Computing Standards and Research Papers,” available at IEEE Xplore
ACM, “Research Advances in Cloud and Distributed Computing,” available at ACM Digital Library
Cloud Computing: Principles and Paradigms by Rajkumar Buyya, James Broberg, and Andrzej Goscinski, Wiley Publications, 2011.
Distributed and Cloud Computing by Kai Hwang, Geoffrey Fox, and Jack Dongarra, Morgan Kaufmann Publishers, 2012.
IBM, “Cloud Security and Hybrid Cloud Solutions,” available at IBM Cloud
Oracle, “Oracle Cloud Infrastructure Documentation,” available at Oracle Cloud