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@article{191918,
        author = {Miss.Varekar Ashwini Narayan and Miss.Jadhav Sarika Subhash},
        title = {Resilient Clouds: Mastering Data Center Downtime with AI-Driven Recovery Strategies},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {8398-8400},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191918},
        abstract = {Data centers power the digital world but face growing threats from cyber-attacks, natural disasters, and hardware failures. This paper explores three modern disaster recovery (DR) approaches—Cloud-Native DRaaS, Hybrid Cloud Replication, and AI-Orchestrated Automation—that cut downtime from hours to minutes using artificial intelligence in IT operations. AI integration predicts failures and automates responses, making hybrid models optimal for balancing cost, speed, and intelligence amid surging AI workloads [1][2][3].},
        keywords = {AI Driven Recovery, Data Center, Disaster Recovery, Downtime,},
        month = {January},
        }