Dynamic Service Migration with Partially Observable Information in Mobile Edge Computing

Li, X., Zhou, Y., Sun, Y. , Chen, S., Chen, J. and Feng, G. (2021) Dynamic Service Migration with Partially Observable Information in Mobile Edge Computing. In: 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 07-11 Dec 2021, ISBN 9781728181042 (doi: 10.1109/GLOBECOM46510.2021.9685495)

Abstract

Service migration, determining when, where and how to migrate the ongoing service, is of paramount importance in mobile edge computing (MEC) for provisioning high quality of service to mobile users. With respect to high network dynamics and stringent delay requirements, service migration is a rather challenging issue in MEC. In this paper, we formulate service migration as a partially observable Markov decision process (POMDP) based on the fact that an edge server can only obtain partial users' information, or the information of its own serving users. A learning-based intelligent service migration algorithm, named iSMA, is proposed to minimize the long-term service delay of all users. iSMA consists of two function modules, a latent space model and a cross-entropy planning algorithm, where the latent space model is used to infer the full state of the environment based on the partial information observed, and the cross-entropy planning algorithm is used to search the best service migration strategy. Numerical results show that our proposed iSMA reduces the service delay by about 58% when compared with a well-known deep learning-based solution.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Sun, Dr Yao and Feng, Professor Gang
• Authors: Li, X., Zhou, Y., Sun, Y., Chen, S., Chen, J., and Feng, G.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISBN: 9781728181042
• Published Online: 02 February 2022
• Copyright Holders: Copyright © 2021 IEEE
• First Published: First published in 2021 IEEE Global Communications Conference (GLOBECOM)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy