Research Article

AI-Driven Smart Fabric Provisioning: Transforming Network Automation through Intelligent Orchestration and Dynamic Testing

Authors

  • Derek Asir Muthurajan Caleb Broadcom Inc., USA

Abstract

The evolution of modern data centers demands innovative approaches to fabric provisioning, particularly when integrating new switches, hosts, and storage into existing infrastructures. This article introduces a Smart Fabric Provisioning solution powered by Agentic AI that transforms traditional manual processes into automated, intelligent workflows. By creating dynamic full-mesh fabrics with simulated environments, the solution addresses critical challenges in solution qualification and resource utilization during proof-of-concept phases. The AI-driven approach enables logical link manipulation to test various conditions without physical reconfiguration, significantly streamlining deployment workflows while reducing human error. This dual-purpose technology serves both as an internal efficiency tool for en

Agentic AI, Fabric Provisioning, Network Automation, Infrastructure Simulation, Proof-of-Concept Optimization

representing a paradigm shift in how network fabrics are provisioned, tested, and deployed.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (3)

Pages

783-790

Published

2025-05-08

How to Cite

Derek Asir Muthurajan Caleb. (2025). AI-Driven Smart Fabric Provisioning: Transforming Network Automation through Intelligent Orchestration and Dynamic Testing. Journal of Computer Science and Technology Studies, 7(3), 783-790. https://doi.org/10.32996/jcsts.2025.7.3.85

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Keywords:

Agentic AI, Fabric Provisioning, Network Automation, Infrastructure Simulation, Proof-of-Concept Optimization