Optimizing Enterprise Storage and Disaster Recovery Architectures for Hybrid Cloud Workloads
Abstract
Enterprise applications increasingly depend on hybrid storage architectures that integrate on-premises file systems, network-attached storage (NAS), and cloud-based file services. Ensuring data availability, ransomware resilience, and regulatory compliance across heterogeneous environments remains a critical open problem. This paper presents a formally specified storage and disaster recovery (DR) architecture built around a centralized eight-component control plane: Policy Engine, Snapshot Scheduler, Replication Manager, Recovery Orchestrator, Metadata Database, Audit Log Service, IAM/RBAC Gateway, and Workflow Engine. The problem is formalized as a constrained optimization: assign workloads W to protection policies P over storage nodes S to minimize expected RTO subject to RPO constraints, cost budget C, and a recovery success requirement of Phi >= 0.98. Protection policies are defined as three-dimensional tuples P = (SI, RM, BR) covering snapshot interval, replication mode, and backup retention. Recovery is executed through a deterministic seven-step orchestration algorithm. A prototype implementation of the control plane was developed in Python 3.11 (FastAPI, PostgreSQL 15, Celery/Redis) comprising approximately 8,400 lines of code, and used to drive all experimental measurements. The architecture was evaluated on a 5 TB, 1-million-file hybrid testbed (Synology NAS + Azure Blob WORM) at 4,200 IOPS average load. Results demonstrate up to 45% RTO reduction, 66% RPO improvement, and 99% recovery success at a monthly cost delta of approximately $285 versus the baseline. Comparison with five alternative approaches — including commercial Veeam+Azure and academic DR-Cloud — confirms the superiority of the integrated architecture.
Article Information
Journal |
International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
|---|---|
Volume (Issue) |
Vol. 8 No. 5 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
DOI |
|
Pages |
17271-17284 |
Published |
October 11, 2025 |
| Copyright | |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Sreedar Radhakrishnan (2025). Optimizing Enterprise Storage and Disaster Recovery Architectures for Hybrid Cloud Workloads. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 8 No. 5 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 17271-17284. https://doi.org/10.15662/IJAESIT.2025.0805010 |
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