Dynamic service migration with partially observable information in mobile edge computing

X Li, Y Zhou, Y Sun, S Chen, J Chen… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
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 …

Intelligent service migration based on hidden state inference for mobile edge computing

X Li, S Chen, Y Zhou, J Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing, enabling cloud computing capabilities at edge servers, is shown to
be an effective way to enhance network performance as well as user experience. However …

Service migration with high-order mdp in mobile edge computing

B Yang, P Han, C Feng, Y Liu… - 2021 13th International …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has gained a lot of popularity for supporting newly emerging
services with low latency by deploying servers in base stations (BSs). For a moving user, the …

Mobility-aware service migration for seamless provision: A reinforcement learning approach

Y Miao, F Lyu, F Wu, H Wu, J Ren… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising paradigm to support high-quality time-
sensitive applications. In this paper, we investigate the service migration (ie, whether, when …

A service migration method based on dynamic awareness in mobile edge computing

M Zhang, H Huang, LL Rui, G Hui… - NOMS 2020-2020 …, 2020 - ieeexplore.ieee.org
Cloud computing technologies can not satisfy the requirements of applications on the mobile
terminals because of their disadvantages in delay, link load and energy. So Mobile Edge …

Online service migration in mobile edge with incomplete system information: A deep recurrent actor-critic learning approach

J Wang, J Hu, G Min, Q Ni… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is an emerging computing paradigm that extends
cloud computing to the network edge to support resource-intensive applications on mobile …

A Comparative Study on Service Migration for Mobile Edge Computing Based on Deep Learning

A Boukerche - 2023 - ruor.uottawa.ca
Over the past few years, Deep Learning (DL), a promising technology leading the next
generation of intelligent environments, has attracted significant attention and has been …

Service migration in MEC: an Approach Based on Deep Reinforcement Learning and Fuzzy Logic

X Zhang, C Bu, J Wang - Available at SSRN 4511603, 2023 - papers.ssrn.com
As a new computing paradigm, Mobile Edge Computing (MEC) sinks resources to the
network edge to support real-time re-sponses of services. Facing the demand for migrating …

A novel deep reinforcement learning based service migration model for mobile edge computing

SW Park, A Boukerche, S Guan - 2020 IEEE/ACM 24th …, 2020 - ieeexplore.ieee.org
Cloud Computing has emerged as a foundation of smart environments by encapsulating
and virtualizing the underlying design and implementation details. Concerning the inherent …

Hybrid learning based service migration for cost minimization with deadlines in multi-user mobile edge computing systems

H Yu, Q Zhang - Computer Networks, 2024 - Elsevier
Mobile edge computing, a new computing model, aims to reduce network latency and
improve user experience by placing computing resources closer to the users. However …