Controller Placement in SDN using Honey Badger Algorithm
محورهای موضوعی : journal of Artificial Intelligence in Electrical Engineering
mahnaz khojand
1
,
kambiz Majidzadeh
2
,
mohammad masderi
3
,
Yousef Farhang
4
1 - 1 Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
2 - Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
3 - 3Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
4 - Department of Computer Engineering, Khoy Branch, Islamic Azad University, Khoy, Iran
کلید واژه: Software Defined Network, Controller Placement, Honey Badger Algorithm, Heuristic algorithms, Genetic operators.,
چکیده مقاله :
Software-defined networking (SDN) is a network structure where the control and data planes are separated. In traditional SDN, a single controller was in charge of control management, but this architecture had several constraints. To address these constraints, it is advisable to incorporate multiple controllers in the network. Selecting the number of controllers and connecting switches to them is known as the controller placement problem (CPP). CPP is a key hurdle in enhancing SDNs. In this paper a meta-heuristic algorithm called Honey Badger Algorithm (HBA), is used to determine the optimal alignment between switches and controllers. HBA is modified using genetic operators (GHBA). The assessments are conducted with a diverse range of controllers on four prominent software-defined networks sourced from the Internet Topology Zoo and are compared to numerous algorithms in this field. It is noted that GHBA outperforms other competing algorithms in terms of end-to-end delay and energy consumption.
Software-defined networking (SDN) is a network structure where the control and data planes are separated. In traditional SDN, a single controller was in charge of control management, but this architecture had several constraints. To address these constraints, it is advisable to incorporate multiple controllers in the network. Selecting the number of controllers and connecting switches to them is known as the controller placement problem (CPP). CPP is a key hurdle in enhancing SDNs. In this paper a meta-heuristic algorithm called Honey Badger Algorithm (HBA), is used to determine the optimal alignment between switches and controllers. HBA is modified using genetic operators (GHBA). The assessments are conducted with a diverse range of controllers on four prominent software-defined networks sourced from the Internet Topology Zoo and are compared to numerous algorithms in this field. It is noted that GHBA outperforms other competing algorithms in terms of end-to-end delay and energy consumption.
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