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Dynamic service migration in ultra-dense multi-access edge computing network for high-mobility scenarios
EURASIP Journal on Wireless Communications and Networking ( IF 2.6 ) Pub Date : 2020-10-06 , DOI: 10.1186/s13638-020-01805-2
Haowei Lin , Xiaolong Xu , Juan Zhao , Xinheng Wang

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.



中文翻译:

用于高移动性场景的超密集多访问边缘计算网络中的动态服务迁移

与用户设备和远程云计算相比,多访问边缘计算(MEC)具有更高的计算能力和更低的延迟,从而使新型服务和移动应用程序得以不断涌现。但是,用户的移动可能会导致MEC网络中的服务迁移或中断。特别是对于高度移动的用户,它们加快了服务迁移和切换的频率,从而影响了整个MEC网络的稳定性。在本文中,我们提出了一种分层的多访问边缘计算体系结构,为超密集MEC网络中的动态服务迁移建立了基础架构。此外,我们为超密集MEC网络中的高移动性用户提出了一种新机制,将高移动性用户和普通用户的服务迁移有效地安排在一起。然后,我们提出了一种评估迁移服务的算法,以帮助选择适合迁移服务的MEC服务器。结果表明,所提出的机制可以有效地安排服务迁移,即使在阻塞情况下也可以更快地恢复服务。另一方面,提出的算法能够对现有的选择MEC服务器的算法进行补充,因为它可以更好地反映迁移后的服务的能力。

更新日期:2020-10-07
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