Performance Evaluation and Optimization of Software- Defined Networking in Large-Scale Computer Networks

Zainab Saad Karam Al-Bkhati; MortezaValizadeh; Mehdi ChehelAmirani; Vahid Talavat

Author(s)

Zainab Saad Karam Al-Bkhati Department of electrical and computer engineering, Urmia University,Urmia,Iran

MortezaValizadeh Department of electrical and computer engineering, Urmia University,Urmia,Iran

Mehdi ChehelAmirani Department of electrical and computer engineering, Urmia University,Urmia,Iran

Vahid Talavat Department of electrical and computer engineering, Urmia University,Urmia,Iran

Abstract

Traditional network structures could not meet the increasing needs of large organizations, infrastructure developers, and end-users in terms of load balancing. This need is addressed by the development of software-defined networks (SDNs) and by enhancing their efficiency in avoiding congestion, which leads to improved load balancing on the network. The BalCon algorithm is a heuristic algorithm in this field that is capable of detecting and solving the load balancing problem by effectively migrating switches to other controllers.In this study, based on the variables affecting the performance of software controllers, the Invasive Weed Optimization (IWO) algorithm is used to determine an improved solution for the migration of switches to the appropriate controller. The input parameters of the optimization algorithm include the number of migrations required to achieve the optimal arrangement, the maximum load of the controllers, the correlation index of the controller switches, and the load variance. In this research, the performance evaluation variables were the load variance, total and maximum load of controllers, and the number of migrations of switches from one controller to another. the proposed method leads to a better load balancing and smaller number of required migrations between controllers compared to the base design.

Publication Details

Page(s) 37-59

DOI DOI not available

Published Journal: International Journal of Communication Networks and Information Security, Volume: 16, Issue: 5, Year: 2024

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Keywords

Invasive Weed Optimization, Software Defined Networking (SDN), Load Balancing BalCon

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