Estimation of Computation Time for Software-Defined Networking-Based Data Traffic Offloading System in Heterogeneous Network

The approach of data traffic offloading methodologies is likely to improve the quality of mobile service to address the issue of insufficient bandwidth due to the rapid growth of cellular data traffic. To measure the real-time performance of Software-defined networking (SDN) based offloading systems, computing the response time is essential to consider. In this study, we develop a computation model to estimate the response time of the SDN-based data traffic offloading system (SDN-TOS) to predict the efficiency of system performances accurately. The values related to the process of Mininet emulator were collected from a mobile communication company through a third-party broker based in Sri Lanka. Further analysis is considered to perform the comparison between the proposed model and the Cloud Service Providers (CSP) approach. The CSP approach considers only one network to estimate the response time; in contrast, our model perceives the response time of the SDN controller and both Long-Term Evolution (LTE), and Wi-Fi in the offloading process. Hence, our computation model generates high accurate value for the required response time of SDN-TOS. The essential parameters that directly affect the offloading task such as computation capability and uplink data rate are observed through the comparison between two different service providers. The computation capability and uplink data rate of data traffic offloading processes are involved in a significant role in real-time decision making for data and mobile communication services. Our analysis exhibits the effectiveness of a comprehensive computation model and identifies the most appropriate parameters to enhance the performance of SDN-TOS in the mobile and data communication industries.