Title: Metaheuristic based segment routing for hybrid software-defined network under heterogeneous environment

Authors: Deepak Bishla; Brijesh Kumar

Addresses: Faculty of Computer Science and Engineering, Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad, Haryana 121004, India ' Faculty of Computer Science and Engineering, Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad, Haryana 121004, India

Abstract: Software-defined networking (SDN) is a network framework that decouples the network's control from its data-forwarding operations, concentrates on intelligence, and isolates the network's fundamental architecture from various applications and services. With the help of a hybrid SDN framework, legacy and SDN protocols can coexist and function in the same setting. However, the hybrid structure makes managing traffic in the hybrid SDN difficult. Segment routing produces control overheads due to the incorporation of extra packet headers. Still, the network congestion, higher packet loss rate and energy usage make routing a challenging task. Hence, a novel segment routing using the proposed Gannet artificial humming optimisation (GAho) algorithm. The proposed GAho utilises the multi-objective fitness function based on link quality and flow features to make congestion-free routing. The performance analysis of GAho based segment routing using the delay, throughput, jitter, and packet drop acquired the values of 4.24 ms, 77.61%, 0.15 sec, and 1.82%, respectively.

Keywords: segment routing; hybrid software-defined networks; traffic management; hybrid optimisation; heterogeneous; flow attributes; link quality.

DOI: 10.1504/IJCNDS.2024.140678

International Journal of Communication Networks and Distributed Systems, 2024 Vol.30 No.5, pp.550 - 571

Received: 03 Jul 2023
Accepted: 27 Aug 2023
Published online: 30 Aug 2024 *

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