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A novel features prioritization mechanism for controllers in software-defined networkingoa mark
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Publication Year
2021-01-01
Publisher
Tech Science Press
Citation
Computers, Materials and Continua, Vol.69, pp.267-282
Keyword
Analytical hierarchy processAnalytical network processControllersFeature-based selectionQuality-of-serviceSoftware-defined networking
Mesh Keyword
Analytical network processes (ANP)Controller selectionMulti-criteria decision makingMultiple controllersPrioritization mechanismSingle controllersSoftware defined networking (SDN)Underlying networks
All Science Classification Codes (ASJC)
BiomaterialsModeling and SimulationMechanics of MaterialsComputer Science ApplicationsElectrical and Electronic Engineering
Abstract
The controller in software-defined networking (SDN) acts as strategic point of control for the underlying network. Multiple controllers are available, and every single controller retains a number of features such as the OpenFlow version, clustering, modularity, platform, and partnership support, etc. They are regarded as vital when making a selection among a set of controllers. As such, the selection of the controller becomes a multi-criteria decision making (MCDM) problem with several features. Hence, an increase in this number will increase the computational complexity of the controller selection process. Previously, the selection of controllers based on features has been studied by the researchers. However, the prioritization of features has gotten less attention. Moreover, several features increase the computational complexity of the selection process. In this paper, we propose a mathematical modeling for feature prioritization with analytical network process (ANP) bridge model for SDN controllers. The results indicate that a prioritized features model lead to a reduction in the computational complexity of the selection of SDN controller. In addition, our model generates prioritized features for SDN controllers.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32082
DOI
https://doi.org/10.32604/cmc.2021.017813
Fulltext

Type
Article
Funding
Funding Statement: This research was supported partially by LIG Nex1. It was also supported partially by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2021-2018-0-01431) supervised by the IITP (Institute for Information & Communications Technology Planning Evaluation).
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ALI JEHADJEHAD, ALI
Department of Software and Computer Engineering
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