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

Author

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  • 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.

Suggested Citation

  • 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, Al-Kindi Center for Research and Development, vol. 7(3), pages 783-790, April.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:3:id:9431
    DOI: 10.32996/jcsts.2025.7.3.85
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