2025-26

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Browsing 2025-26 by Author "ANIKETH KUMAR B 1NH24MC017"

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    Hybrid Cloud-Based SD-Wan Framework for Intelligent Traffic Routing
    (NHCE, 2026) ANIKETH KUMAR B 1NH24MC017
    Contemporary enterprise networks are no longer confined to a single campus or data centre. Distributed workforce, multi-cloud adoption, and latency-sensitive applications have collectively rendered traditional Wide Area Network (WAN) architectures insufficient for the demands of modern business operations. This internship report documents the experiential learning program undertaken at Brillio Industry lab, during which the architecture, configuration, and evaluation of a Software-Defined Wide Area Network (SD-WAN) solution were explored in depth. The report is structured around a central case study: the design and practical simulation of a Hybrid Cloud-Based SD-WAN Framework for Intelligent Traffic Routing. The framework positions a cloud-hosted SD-WAN controller as the centralized management plane, connects geographically distributed branch offices and remote users through encrypted overlay tunnels, and routes traffic dynamically based on real-time path metrics including latency, jitter, packet loss, and available bandwidth. The study contrasts the traditional WAN model which relies on static MPLS leased lines and hardware-centric routing with the SD-WAN approach, which decouples the control plane from physical hardware and enables policy-driven, application-aware path selection across heterogeneous transport links. Key topics explored include the overlay and underlay network model, VPN tunnel establishment using IPSec, dynamic path selection algorithms, automatic failover mechanisms, centralized policy management, and Quality of Service integration. Simulation exercises were conducted using Cisco Packet Tracer and supplemented with architectural analysis. The report outlines the skills acquired in software-defined networking concepts, WAN design principles, traffic engineering, and cloud-integrated network management.