Evaluating Disaster Recovery Techniques and Business Continuity Models in Cloud Computing
Keywords:
Disaster recovery, business continuity, cloud computing, multi-cloud, regulatory compliance, artificial intelligence, recovery time objectivesAbstract
Cloud computing has emerged as a critical infrastructure for modern businesses, offering scalability, cost-efficiency, and enhanced accessibility. However, the reliance on cloud services has also introduced unique challenges in ensuring disaster recovery (DR) and business continuity (BC). This study evaluates state-of-the-art DR techniques and BC models within the cloud computing paradigm. It explores the integration of innovative strategies such as multi-cloud redundancy, containerization, and artificial intelligence to mitigate risks and optimize recovery time objectives. Additionally, the research delves into regulatory compliance and security considerations essential for effective disaster recovery planning. The findings underscore the importance of adopting hybrid approaches that balance technological advancement with operational practicality, ensuring resilience in the face of unexpected disruptions.
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Copyright (c) -1 Rajesh Aggarwal (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
