How to Cite:
Vishwa, "Policy-Driven Autonomous Network Infrastructure Orchestration" International Journal of Computational Science, Technology and Management, Vol. 1, No. 1, pp. 25-29, 2026.

Abstract:
The rapid adoption of cloud computing, software-defined networking (SDN), network function virtualization (NFV), edge computing, and hybrid multi-cloud architectures has significantly increased the complexity of enterprise network management. Traditional manual network configuration approaches are no longer sufficient to manage dynamic infrastructures that require continuous scalability, resilience, security, and service availability. Policy-Driven Autonomous Network Infrastructure Orchestration (PDANIO) has emerged as an intelligent paradigm that combines declarative policy management, intent-based networking, artificial intelligence (AI), machine learning (ML), and infrastructure automation to enable self-configuring, self-optimizing, self-healing, and self-securing network environments. This study proposes a comprehensive Policy-Driven Autonomous Network Infrastructure Orchestration framework that integrates policy engines, infrastructure orchestration platforms, telemetry collection, AI-driven decision-making, and automated lifecycle management to improve network reliability and operational efficiency. The proposed framework continuously monitors network conditions, evaluates predefined organizational policies, predicts failures using AI analytics, and automatically provisions or reconfigures network resources without human intervention. Comparative analysis indicates that policy-driven autonomous orchestration substantially improves deployment speed, operational consistency, fault recovery, resource utilization, compliance enforcement, and network availability compared with conventional network administration methods. The proposed architecture supports modern DevSecOps practices, intent-based networking, and autonomous digital infrastructure management, providing a scalable solution for next-generation enterprise networks.

Keywords: Policy-Driven Networking, Autonomous Networks, Infrastructure Orchestration, Intent-Based Networking, Software-Defined Networking, Artificial Intelligence, Network Automation, DevSecOps, Cloud Networking, NFV.

References:
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