Dynamic service migration in ultra-dense multi-access edge computing network for high-mobility scenarios

Haowei Lin, Xiaolong Xu*, Juan Zhao, Xinheng Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

The multi-access edge computing (MEC) has higher computing power and lower latency than user equipment and remote cloud computing, enabling the continuing emergence of new types of services and mobile application. However, the movement of users could induce service migration or interruption in the MEC network. Especially for highly mobile users, they accelerate the frequency of services’ migration and handover, impacting on the stability of the total MEC network. In this paper, we propose a hierarchical multi-access edge computing architecture, setting up the infrastructure for dynamic service migration in the ultra-dense MEC networks. Moreover, we propose a new mechanism for users with high mobility in the ultra-dense MEC network, efficiently arranging service migrations for users with high-mobility and ordinary users together. Then, we propose an algorithm for evaluating migrated services to contribute to choose the suitable MEC servers for migrated services. The results show that the proposed mechanism can efficiently arrange service migrations and more quickly restore the services even in the blockage. On the other hand, the proposed algorithm is able to make a supplement to the existing algorithms for selecting MEC servers because it can better reflect the capability of migrated services.

Original languageEnglish
Article number191
JournalEurasip Journal on Wireless Communications and Networking
Volume2020
Issue number1
DOIs
Publication statusPublished - 1 Dec 2020

Keywords

  • Dynamic service migration
  • High-mobility scenarios
  • Multi-access edge computing
  • Ultra-dense network

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