International Journal of Science, Engineering and TechnologyAuthors: Vaishanavi Rajgopal Sitalgeri
Abstract: Disaster Recovery (DR) in cloud environments has emerged as a critical priority in the digital era, as data becomes the foundation of business operations. With the rise of cloud computing, businesses increasingly rely on distributed infrastructure to store, manage, and process critical data. This shift, while offering scalability and cost-efficiency, also introduces unique vulnerabilities such as system outages, cyberattacks, natural disasters, and hardware failures. Consequently, developing robust, adaptive, and affordable disaster recovery mechanisms has emerged as a critical priority. Despite significant technological progress, many existing DR strategies still fall short in addressing the evolving demands of cloud- native architectures, particularly in areas like cross-platform compatibility, energy sustainability, and real-time recovery. This work offers an extensive theoretical analysis of disaster recovery strategies in cloud systems. It evaluates existing models and identifies critical gaps related to automation, energy usage, and resilience under dynamic workloads. Drawing from concepts in resilience engineering, distributed systems, and green computing, the study proposes a new direction for DR frameworks—one that emphasizes flexibility, multi-cloud support, and ecological sustainability. By synthesizing current academic and industry literature, the research offers foundational insights that can inform both future experimental work and the development of next- generation cloud resilience strategies.
