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

Authors

  • Derek Asir Muthurajan Caleb Broadcom Inc., USA

DOI:

https://doi.org/10.32996/jcsts.2025.7.3.85

Keywords:

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

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.

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Published

2025-05-08

Issue

Section

Research Article

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