Evaluation Method for SDN Network Effectiveness in Next Generation Cellular Networks.

Jamil S A L Azzeh; Abdel Wadood Mesleh; Zhengbing Hu; Roman Odarchenko; Sergiy Gnatyuk; Anastasiia Abakumova

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Evaluation Method for SDN Network Effectiveness in Next Generation Cellular Networks.

Author(s)

Jamil S A L Azzeh Computer Department, Al-Balqa Applied University, Jordan

Abdel Wadood Mesleh Computer Department, Al-Balqa Applied University, Jordan

Zhengbing Hu School of Educational Information Technology, Central China Normal University, Wuhan, China

Roman Odarchenko Telecommunication systems academic Department, National Aviation University, Kyiv, Ukraine

Sergiy Gnatyuk Academic Department of IT-Security, National Aviation University, Kyiv, Ukraine

Anastasiia Abakumova Department of Telecommunication systems, National Aviation University, Kyiv, Ukraine

Abstract

5G mobile technology will become the new standard in the mobile communication market. New networks will focus on significantly improving service quality. The basis for their construction will employ Software Defined Networking (SDN) networks. Therefore, the advantages and disadvantages of two SDN implementing methods are analyzed. A mathematical method is used to assess their complex effectiveness, which considers Quality of Service requirements for implementing service through special weights for scalability, performance, and packet delay. Simulations of Overlay networks are modeled by using softwarebased switches to verify the adequacy of the proposed method. The results show that the use of SDN is more efficient by using IP networks for large volumes of traffic and with a large amount of network equipment. Different approaches to building SDN management level architecture are compared. Based on our studies and modeling, we suggest the use of distributed controller architecture because of its higher level of reliability.

Publication Details

Page(s) 472-495

DOI DOI not available

Published Journal: International Journal of Communication Networks and Information Security, Volume: 10, Issue: 3, Year: 2018

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