A modified genetic algorithm for controller placement problem in SDN distributed network

In this paper, a framework of Controller Placement Problem (CPP) is implemented for dynamic mapping and switch migration across controllers in SDN distributed network architecture. Then a heuristic multi-level capacitated CPP (MCCPP) is formulated to efficiently assigned each switch to a correspondi...

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Main Authors: Ibrahim, Abeer A. Z., Hashim, Fazirulhisyam, Sali, Aduwati, Noordin, Nor K., Fadul, Saber M. E.
Format: Conference or Workshop Item
Published: IEEE 2021
Online Access:http://psasir.upm.edu.my/id/eprint/44512/
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author Ibrahim, Abeer A. Z.
Hashim, Fazirulhisyam
Sali, Aduwati
Noordin, Nor K.
Fadul, Saber M. E.
author_facet Ibrahim, Abeer A. Z.
Hashim, Fazirulhisyam
Sali, Aduwati
Noordin, Nor K.
Fadul, Saber M. E.
author_sort Ibrahim, Abeer A. Z.
building UPM Institutional Repository
collection Online Access
description In this paper, a framework of Controller Placement Problem (CPP) is implemented for dynamic mapping and switch migration across controllers in SDN distributed network architecture. Then a heuristic multi-level capacitated CPP (MCCPP) is formulated to efficiently assigned each switch to a corresponding controller to improve the reliability and scalability of the SDN system. The proposed method simultaneously identifies the optimum number of controllers, minimizes the delay, and ensures load balancing among controllers. Then a Genetic Algorithm (GA) is integrated with the allocation components to improve the controller locations. The effectiveness of the GA-based MCCPP is compared against heuristics CCPP over different network topologies. The adaptive GA-based yields excellent results in latency and only requires a few iterations to attain convergence.
first_indexed 2025-11-15T10:06:23Z
format Conference or Workshop Item
id upm-44512
institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T10:06:23Z
publishDate 2021
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling upm-445122023-08-29T02:24:37Z http://psasir.upm.edu.my/id/eprint/44512/ A modified genetic algorithm for controller placement problem in SDN distributed network Ibrahim, Abeer A. Z. Hashim, Fazirulhisyam Sali, Aduwati Noordin, Nor K. Fadul, Saber M. E. In this paper, a framework of Controller Placement Problem (CPP) is implemented for dynamic mapping and switch migration across controllers in SDN distributed network architecture. Then a heuristic multi-level capacitated CPP (MCCPP) is formulated to efficiently assigned each switch to a corresponding controller to improve the reliability and scalability of the SDN system. The proposed method simultaneously identifies the optimum number of controllers, minimizes the delay, and ensures load balancing among controllers. Then a Genetic Algorithm (GA) is integrated with the allocation components to improve the controller locations. The effectiveness of the GA-based MCCPP is compared against heuristics CCPP over different network topologies. The adaptive GA-based yields excellent results in latency and only requires a few iterations to attain convergence. IEEE 2021 Conference or Workshop Item PeerReviewed Ibrahim, Abeer A. Z. and Hashim, Fazirulhisyam and Sali, Aduwati and Noordin, Nor K. and Fadul, Saber M. E. (2021) A modified genetic algorithm for controller placement problem in SDN distributed network. In: 2021 26th IEEE Asia-Pacific Conference on Communications (APCC), 11-13 Oct. 2021, Kuala Lumpur, Malaysia. (pp. 83-88). https://ieeexplore.ieee.org/document/9609838 10.1109/APCC49754.2021.9609838
spellingShingle Ibrahim, Abeer A. Z.
Hashim, Fazirulhisyam
Sali, Aduwati
Noordin, Nor K.
Fadul, Saber M. E.
A modified genetic algorithm for controller placement problem in SDN distributed network
title A modified genetic algorithm for controller placement problem in SDN distributed network
title_full A modified genetic algorithm for controller placement problem in SDN distributed network
title_fullStr A modified genetic algorithm for controller placement problem in SDN distributed network
title_full_unstemmed A modified genetic algorithm for controller placement problem in SDN distributed network
title_short A modified genetic algorithm for controller placement problem in SDN distributed network
title_sort modified genetic algorithm for controller placement problem in sdn distributed network
url http://psasir.upm.edu.my/id/eprint/44512/
http://psasir.upm.edu.my/id/eprint/44512/
http://psasir.upm.edu.my/id/eprint/44512/