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@article{169115,
        author = {Bevan Mehra and Komal and Ayush Kumar and Sonal Dixit and Sayantan Naskar and Vicky Raj},
        title = {Cloud-Centric Disaster Recovery: Enhancing Resilience and Reducing Downtime},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1369-1375},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169115},
        abstract = {In the ever-increasing digitalization of the world, competent disaster recovery strategies are highly in need. Amongst all other recovery options, cloud-centric disaster recovery has come into prominence, trying to offer organizations much-needed resiliency and low time of downtime while navigating data protection and business continuity complexities. This review systematically aims at representing the evolution and development of cloud-based disaster recovery solutions that become vital for enhancing organizational resilience from most forms of disruptive events. Key Cloud DR Models: Review the key cloud DR models-Backup and Recovery, DRaaS, and Multi-Cloud Strategies-elaborating on their respective advantages, challenges, and best practices. The paper goes on to expound on cloud DR integration with emerging technologies such as AI and ML that promise to revolutionize predictive analytics, automated failover processes, and real-time monitoring. We also focus on case studies and industry benchmarks to demonstrate practical implementations and effectiveness that provide insights into how organizations can use cloud-centric DR solutions to minimize risk, ensuring integrity and continuity of operations. The review also identifies current gaps and future research directions with the aim of providing an understanding of how cloud technologies can be best optimized for disaster recovery. From expert views and new developments, this paper synthesizes into guidance for organizations in developing their disaster recovery strategies in more cloud-centric approaches that will result in operational resilience with minimized downtime.},
        keywords = {Cloud-Centric Disaster Recovery Solutions, Backup and Recovery, Disaster Recovery as a Service (DRaaS), Multi-Cloud Strategies, Artificial Intelligence (AI), Machine Learning (ML), Predictive Analytics, Automated Failover Processes, Real-Time Monitoring},
        month = {November},
        }