Recently, emerging technologies such as mobile devices and applications, social networks, cloud computing, and big data have experienced explosive growth, and end-users are expecting higher data rates with better quality of services (QoS) year after year.

This thesis gives a brief introduction to the software-defined network (SDN) definition, general concepts, and architecture as technology, then illustrates various mobile network architectures using different technologies. It shows the simulation of these architectures plus real live networks measurement, so in the end, it can propose SDN architecture that can be used to serve multiple applications and technologies. Network simulation models are used to evaluate the performance of the proposed SDN architectures as well as various architectures representing the traditional networking technologies for different scenarios under different conditions.

The simulation results show the improvement of the SDN performance over the other ones. The traditional architectures have been implemented and tested in two mobile operator’s production environments and test labs; and the practical measurements have been compared with the simulation results for its consistency.

This work is considered as SDN proof-of-concept and interoperability with other technologies which is an essential aspect during the migration to SDN so a hybrid proposed model is simulated to gain benefits of SDN at the lowest cost keeping part of the traditional network as well.

Keywords: SDN; Open Flow; Open Day light; Cisco SDN; Mininet; Throughput; Simulated Networks; IoT applications; Performance Measurements

Michael N.A. Ibrahim

Affiliation

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Performance Evaluation of Virtualized Networks to Serve the Smart IoT Applications