Research Article
Towards Mobility-Aware Dynamic Service Migration in Mobile Edge Computing
@INPROCEEDINGS{10.1007/978-3-030-67537-0_8, author={Fangzheng Liu and Bofeng Lv and Jiwei Huang and Sikandar Ali}, title={Towards Mobility-Aware Dynamic Service Migration in Mobile Edge Computing}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 16th EAI International Conference, CollaborateCom 2020, Shanghai, China, October 16--18, 2020, Proceedings, Part I}, proceedings_a={COLLABORATECOM}, year={2021}, month={1}, keywords={Mobile edge computing Service migration Markov Decision Process (MDP) User mobility}, doi={10.1007/978-3-030-67537-0_8} }- Fangzheng Liu
Bofeng Lv
Jiwei Huang
Sikandar Ali
Year: 2021
Towards Mobility-Aware Dynamic Service Migration in Mobile Edge Computing
COLLABORATECOM
Springer
DOI: 10.1007/978-3-030-67537-0_8
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’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.
