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Multidimensional Research Insights

ISSN: 3067-8129

Multidimensional Research Insight is an international scholarly journal of social sciences which provides wide, excellent cross-disciplinary research papers. It aims at increasing the generation of new self-integration knowledge with an emphasis on interdisciplinary research which harnesses interests cut across discipline to find solutions to local and global amplifications. The published journal is intended to enhance the probability of domain spanning and allow researchers to focus on the discovery of the connections on one field and others, and provide the overviews which are not partial.

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Disaster Recovery Data Centers Optimization: A Framework for Intelligent Resource Utilization and Cost-Effective Resilience

1*Babar Tariq

1 Department of Complex Deals, Digital Data Centers for Data and Telecommunications Company, Riyadh, Kingdom of Saudi Arabia

Received: 04-Dec-2025 | Revised: 29-Dec-2025 | Accepted: 03-Jan-2026

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Doi

https://doi.org/10.64220/mri.v2i1.001

Abstract

Disaster Recovery (DR) data centers constitute a critical component of enterprise resilience strategies, yet they remain among the most inefficient elements of modern IT infrastructure, often operating at utilization levels below 5% while incurring substantial capital and operational costs. Traditional DR architectures prioritize redundancy and availability but treat recovery resources as passive insurance assets, resulting in chronic underutilization and limited economic value. This study proposes INTELLI-DR, a comprehensive optimization framework that redefines disaster recovery as an actively utilized, predictive, and economically sustainable system. The framework integrates optimized physical infrastructure, secure multi-tenant isolation, software-defined resource pooling, predictive disaster intelligence, and policy-driven business continuity orchestration. Through large-scale discrete-event simulation encompassing over 10,000 workload scenarios and diverse disaster conditions, as well as pilot implementations across financial services, healthcare, and e-commerce sectors, the proposed approach demonstrates significant performance and economic gains. Results indicate that optimized DR infrastructures can achieve sustained utilization levels of 60–80%, reduce recovery time objectives by approximately 40%, and lower total cost of ownership by 35–50%, while maintaining or improving recovery reliability and compliance. By combining technical innovation with economic and operational considerations, this research challenges conventional DR paradigms and provides a practical roadmap for next-generation resilient infrastructure capable of delivering both robust continuity and measurable business value.

Keywords

Disaster recovery, infrastructure optimization, predictive failover, resource utilization, cost optimization, business continuity, Data centers.

Cite this Article

APA Style

Tariq, B. (2026). Disaster Recovery Data Centers Optimization: A Framework for Intelligent Resource Utilization and Cost-Effective Resilience. *Multidimensional Research Insights, Volume 2 (2026)*(Issue 1), . https://doi.org/10.64220/mri.v2i1.001

MLA Style

Babar Tariq. "Disaster Recovery Data Centers Optimization: A Framework for Intelligent Resource Utilization and Cost-Effective Resilience." *Multidimensional Research Insights*, vol. Volume 2 (2026), no. Issue 1, 2026, pp. . https://doi.org/10.64220/mri.v2i1.001

Chicago Style

Babar Tariq. "Disaster Recovery Data Centers Optimization: A Framework for Intelligent Resource Utilization and Cost-Effective Resilience." *Multidimensional Research Insights* Volume 2 (2026), no. Issue 1 (2026): . https://doi.org/10.64220/mri.v2i1.001