18HH6200, A Development for Intellectualized Edge Networking based on AI,
Ryu Ho Yong
Abstract
Due to the increasing popularity and the need for cloud computing systems, new paradigms and models such as fog and edge computing have recently emerged. The researches on mobile edge computing, including 5G, are focused on virtual network function placement for communication performance. Mobility studies of heterogeneous networks have been carried out in network mobility (NEMO), vehicular ad hoc networks (VANET), and telematics technology. Mobile gateways play an important role in communication between things/mobile users and networks. However, mobile gateways have a difficulty on maintaining the communication link in a wireless environment due to obstacles and unstable connections with devices. In this paper proposes a dynamic load balancing approach in order that the multi-network mobile gateway (MNMG) distributes its traffic to one of several heterogeneous networks. For high utilization of networks, the MNMG distributes traffic dynamically by reflecting each network state. To evaluate the performance of the proposed approach, experiments is performed on real commercial networks consisting of the MNMG with the proposed load balancing were used in Korea, Thailand and India.
KSP Keywords
Balancing approach, Balancing mechanism, Cloud computing system, Communication link, Communication performance, Dynamic Load Balancing, Fog and Edge Computing, Mobile Edge Computing(MEC), Mobile Gateway, Network state, Vehicular Ad hoc Networks(VANETs)
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