A Service Migration Algorithm Based on Fuzzy Logic and Markov Decision Process for Mobile Edge Computing

Abstract

Modern life is almost inseparable from smart devices, including mobile phones and smart homes, which are heavily connected to the network. Due to the frequent use of mobile devices in daily life, the quality of service (QoS) during moving process also needs to be guaranteed. Many studies have shown that edge computing can provide users with low latency and high-quality network services, and can also be useful in mobile network scenarios due to the richness of its network architecture. In existing mobile edge computing networks, research on service migration mainly considers the impact of distance and energy consumption on the service migration process. This paper analyses the problems arising in the service migration process and the various factors affecting the quality of service migration, including the environment of migration and the mobility of users, etc. By using fuzzy logic to calculate the evaluation value of the target service migration process, the decision problem of service migration is then transformed into a Markov decision process, and service migration points are also set to improve the decision process. Finally, the effectiveness of the algorithm is verified through experimental simulations..