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"Quantum-Inspired Optimization and Resource Allocation in AI-Driven Data Centers and Edge Networks"

Madhura G K

Abstract


This study presents a comprehensive review and synthesis of recent research advancements integrating quantum-inspired optimization and artificial intelligence (AI) in data centers and edge computing networks. With the exponential growth in data generation and the demand for real-time processing, AI-driven infrastructures face challenges in scalability, latency, and energy efficiency. Through the evaluation of 29 scholarly works authored or co-authored by Vinod Veeramachaneni, Srinivasa Rao Bittla, and Srimaan Yarram, the study highlights innovations across diagnostics in electrical systems, cybersecurity through Zero Trust and blockchain, large language models, anomaly detection in IoT, and advanced software engineering practices. A key contribution lies in the identification of hybrid AI models—ranging from Graph Neural Networks (GNNs) to federated learning—and their application to optimize resource allocation and fault tolerance. The insights provided form a foundational framework for future development of intelligent, secure, and resource-efficient infrastructures in critical computing environments.


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References


V. Veeramachaneni, M. I. Habelalmateen, P. K. Pareek, A. Pavithra and M. Suganya, "Arc Fault Detection in Electrical Systems based on Multi-Feature Fusion with Graph Neural Network," 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkuru, India, 2024, pp. 1-5, doi: 10.1109/ICMNWC63764.2024.10872360.

V. Veeramachaneni, M. H. Fallah, G. V. Reddy, P. K. Pareek and M. J. R, "Detection of Electrical Transmission Line Overload with Blockchain using Isolation Forest with Recurrent Neural Network," 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkuru, India, 2024, pp. 1-5, doi: 10.1109/ICMNWC63764.2024.10872227.

V. Veeramachaneni, M. M. Almusawi, P. K. Pareek, S. S. Kumar and H. K. H, "Development of Diagnostic Model for Early Detection of Autism Spectrum Disorder in Young Children Using Transfer Learning Based AlexNet," 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkuru, India, 2024, pp. 1-5, doi: 10.1109/ICMNWC63764.2024.10872124.

V. Veeramachaneni, P. K. Pareek, Z. A. Alsalami, V. T. Thangam and T. S, "Fault Detection and Diagnosis in Electrical Distribution System Using Generative Adversarial Networks with Deep Belief Networks," 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkuru, India, 2024, pp. 1-5, doi: 10.1109/ICMNWC63764.2024.10871998.

V. Veeramachaneni, M. M. Hassan, P. K. Pareek, Y. J. N. Kumar and G. Sheeba, "Levy Flight based Chameleon Optimization Algorithm with Modified Gated Recurrent Unit for the Detection of Load Imbalance in Electrical Systems," 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkuru, India, 2024, pp. 1-5, doi: 10.1109/ICMNWC63764.2024.10872291.

V. Veeramachaneni, S. O. Husain, V. Khanna, P. K. Pareek and P. Bhuvaneshwari, "Fault Detection and Classification in Power Grids Using Shannon Entropy with Convolution Distributed Autoencoder," 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkuru, India, 2024, pp. 1-5, doi: 10.1109/ICMNWC63764.2024.10872059.

Vallabhaneni, R., & Veeramachaneni, V. (2024). Developing a Disaster Recovery Plan to Enhance Corporate Resilience and Ensure Business Continuity.

Vallabhaneni, R., & Veeramachaneni, V. (2024). Understanding Penetration Testing for Evaluating Vulnerabilities and Enhancing Cyber Security.

Veeramachaneni, V. (2025). Decentralized Trust Management in Web 3.0: A Comprehensive Approach to Network Security. Recent Innovations in Wireless Network Security, 7(1), 9–26. https://doi.org/10.5281/zenodo.14161410

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