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Modernizing Enterprise Infrastructure Operations using Digital Twin Enabled Predictive Intelligence and Performance Optimization

Geetha Varsha Chandrasekar

Senior Software Developer, Nasdaq, Canada

Abstract

Enterprise infrastructure has become increasingly complex as organizations adopt hybrid cloud, multi-cloud, edge computing, virtualization, software-defined networking, containerization, and highly distributed digital services. Traditional infrastructure management approaches that depend heavily on reactive monitoring and manual intervention are increasingly inadequate for maintaining availability, efficiency, and cost-effectiveness. Digital twin technology provides an emerging approach for addressing these challenges by creating dynamic virtual representations of physical and logical infrastructure and continuously synchronizing them with operational data. When combined with predictive intelligence, machine learning, and performance optimization, digital twins can transform infrastructure operations from reactive maintenance into proactive and data-driven management. This research proposes a digital-twin-enabled predictive intelligence framework for modern enterprise infrastructure operations. The proposed approach integrates real-time telemetry, infrastructure configuration data, historical performance records, dependency relationships, and operational events into a continuously updated digital representation. Predictive models analyze this information to forecast resource demand, identify performance degradation, detect potential failures, and recommend optimization actions. A decision and optimization layer evaluates alternative interventions before their implementation in the physical environment. The research methodology includes data acquisition, digital twin construction, predictive model development, simulation, optimization, experimental validation, and continuous feedback. Performance is evaluated using prediction accuracy, system availability, resource utilization, incident reduction, response time, energy efficiency, and operational cost. The proposed framework aims to improve infrastructure resilience, operational efficiency, scalability, and decision-making while reducing downtime and unnecessary resource consumption

Article Information

Journal

International Journal of Science, Research and Technology

Volume (Issue)

Vol. 9 No. 5 (2026): International Journal of Science, Research and Technology (IJSRAT)

DOI

https://doi.org/10.15662/IJSRAT.2026.0905001

Pages

1739-1749

Published

September 9, 2026
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Geetha Varsha Chandrasekar (%2026). Modernizing Enterprise Infrastructure Operations using Digital Twin Enabled Predictive Intelligence and Performance Optimization. International Journal of Science, Research and Technology , Vol. 9 No. 5 (2026): International Journal of Science, Research and Technology (IJSRAT) , pp. 1739-1749. https://doi.org/10.15662/IJSRAT.2026.0905001

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