Volume 18, Number 2
Designing Disaster Recovery Framework for Globally Distributed Cloud Applications
Authors
Ronak Jani, Lead DBA, USA
Abstract
This article examines the design of disaster recovery frameworks for globally distributed cloud applications operating under heterogeneous consensus models. The relevance of the study arises from the rapid geographic expansion of cloud infrastructures and the growth of transactional workloads that expose limitations of traditional leader-based mirroring. The scientific novelty lies in the integrated interpretation of cross-cluster broadcast semantics, cumulative quorum acknowledgments, and stake-aware scheduling as components of a unified recovery coordination layer. The paper describes linear sender–receiver rotation mechanisms, probabilistic retransmission bounds, and WAN-aware scalability strategies. Special attention is paid to bandwidth asymmetry, Byzantine fault resilience, and adaptive recovery policies in multi-cloud environments. The goal of the study is to systematize architectural principles for communication-efficient and fault-resilient cross-regional synchronization. Comparative and structural analysis methods were applied. The conclusions formulate design conditions for scalable geo-replication under heterogeneous deployment constraints and highlight their relevance for resilient networked infrastructures and distributed cloud systems.
Keywords
Disaster Recovery, Geo-Replication, Replicated State Machines, Quorum Acknowledgment, Distributed Databases