Service Migration in Industrial Edge Computing

In industrial edge computing systems, users, such as automatic inspection robots, constantly move in the factory, which means the controller should frequently update the service caching strategy. To deal with this issue, this chapter attempts to highlight the interference of users’ mobility for caching and further introduces the concept of migration to solve this problem. We propose an energy-efficient migration method based on Lyapunov optimization to save energy consumption of the system in the long term. Then, further taking the location privacy of the users into account, a location privacy-aware migration method is designed to reduce the risk of the user being attacked. This chapter rigorously demonstrates the effectiveness and security of the methods in multiuser scenarios. Overall, the combination of caching and migration so that they could apply to various complicated industrial scenarios is suggested.