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

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.

A comprehensive review on internet of things task offloading in multi-access edge computing

“…Global optimization problems also need to consider collaborative decision-making among multiple decision-makers, including IoT devices, MEC servers, network operators, etc. Distributed offloading decision-making architecture is often used in some large-scale application scenarios [ 59 , 60 ], which requires full consideration of reasonable global decision-making optimization.…”

A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

“…3) Preliminary Solutions Few existing efforts discuss the solutions for service migration issues concerning user mobility. They are, mobility aware dynamic service placement for MEC [234], prioritized service migration for high mobility users among the ordinary users [257], FMeC [233] that assures users are always connected to the optimal edge. Iterative service migration [232] transfers memory pages while the service is running.…”

Migration-Aware Network Services With Edge Computing

“…We adopt the message exchange procedure for service migration from [33]. Service migration finishes with the actual exchange of the service instance from the serving MEC server to the destination MEC server.…”

“…Service migration finishes with the actual exchange of the service instance from the serving MEC server to the destination MEC server. However, prior to that, control messages like decision request, decision response, measurement request, measurement response, service hand over command are exchanged [33].…”