@inproceedings{7029b92d97104ac6a1e90a34a2c15982,
title = "Towards mobility-aware dynamic service migration in mobile edge computing",
abstract = "Mobile edge computing is beneficial to reduce service response time by pushing cloud functionalities to the network edge. However, it is necessary to consider whether to conduct service migration to ensure the quality of service as users migrate to new locations. It is challenging to make migration decisions optimally due to the mobility of the users. To address this issue, we propose a mobility-aware dynamic service migration scheme for mobile edge computing. In order to predict a mobile user{\textquoteright}s movement behavior in terms of boundary crossing probability, we use a new approach for modeling user mobility and formulate the service migration problem as a Markov Decision Process (MDP). This policy can effectively weigh the relationship between delay and migration costs. Our methods capture general cost models and provide a mathematical framework to design optimal service migration policies. Experimental evaluations based on real-world mobility traces of Beijing taxis show superior performance of the proposed solution.",
keywords = "mobile edge computing, service migration, Markov decision process (MDP), user mobility",
author = "Fangzheng Liu and B. Lv and Jiwei Huang and Sikandar Ali",
year = "2021",
month = jan,
day = "22",
doi = "10.1007/978-3-030-67537-0\_8",
language = "English",
isbn = "9783030675363",
series = "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",
publisher = "Springer Cham",
pages = "115--131",
booktitle = "Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst",
}