Service Migration for Deadline-Varying User-Generated Data in Mobile Edge-Clouds

Abstract

Mobile edge computing is a promising paradigm to compensate for the lack of traditional cloud computing, which has a variety of application scenarios. However, the migration of user-generated data in edge networks is a key issue which involves in transmission costs, the mobility of users, transmission resources, etc. In this paper, we focus on migrating deadline-varying user-generated data to edge servers, considering the tasks characteristics and contact patterns between nodes. We design a heuristic algorithm and propose the online algorithm using real-time information to save the cost of transmission. Further, we conduct the extensive simulations to demonstrate the effectiveness of our algorithms.