Exploring Intelligent Service Migration in Vehicular Networks Onyekachukwu A. Ezenwigbo (B ) , Vishnu Vardhan Paranthaman, Glenford Mapp, and Ramona Trestian Faculty of Science and Technology, Middlesex University, London NW4 4BT, UK {A.Ezenwigbo,V.Paranthaman,G.Mapp,R.Trestian}@mdx.ac.uk Abstract. Mobile edge clouds have great potential to address the chal- lenges in vehicular networks by transferring storage and computing func- tions to the cloud. This brings many advantages of the cloud closer to the mobile user, by installing small cloud infrastructures at the network edge. However, it is still a challenge to efficiently utilize heterogeneous commu- nication and edge computing architectures. In this paper, we investigate the impact of live service migration within a Vehicular Ad-hoc Network environment by making use of the results collected from a real experimen- tal test-bed. A new proactive service migration model which considers both the mobility of the user and the service migration time for different services is introduced. Results collected from a real experimental test- bed of connected vehicles show that there is a need to explore proactive service migration based on the mobility of users. This can result in better resource usage and better Quality of Service for the mobile user. Addi- tionally, a study on the performance of the transport protocol and its impact in the context of live service migration for highly mobile envi- ronments is presented with results in terms of latency, bandwidth, and burst and their potential effect on the time it takes to migrate services. Keywords: Edge Computing · Service migration · Vehicular Ad-hoc Network · Quality of Service 1 Introduction Over the years, the cloud-based mobile applications have seen a significant increase in popularity, making it apparent that the next move within the net- working arena would be towards an intelligent edge environment. In this context, one of the primary issues is the provision of guaranteed Quality of Service (QoS) for a wide variety of services. The existing centralized structure of the cloud- based architecture has made a general large geographical separation between mobile users and the cloud infrastructure. In this scenario, end-to-end commu- nication between the mobile user and the cloud infrastructure can involve a lot of network hops, thereby introducing high network latency. Additionally, the c  ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019 Published by Springer Nature Switzerland AG 2019. All Rights Reserved H. Gao et al. (Eds.): TridentCom 2018, LNICST 270, pp. 41–61, 2019. https://doi.org/10.1007/978-3-030-12971-2_3