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http://dx.doi.org/10.7472/jksii.2020.21.4.1

Mobility-Aware Service Migration (MASM) Algorithms for Multi-Access Edge Computing  

Hamzah, Haziq (College of Computing, Sungkyunkwan University)
Le, Duc-Tai (Department of Electrical and Computer Engineering, Sungkyunkwan University)
Kim, Moonseong (Department of Liberal Art, Seoul Theological University)
Choo, Hyunseung (College of Computing, Sungkyunkwan University)
Publication Information
Journal of Internet Computing and Services / v.21, no.4, 2020 , pp. 1-8 More about this Journal
Abstract
In order to reach Ultra-Reliable Low-Latency communication, one of 5G aims, Multi-access Edge Computing paradigm was born. The idea of this paradigm is to bring cloud computing technologies closer to the network edge. User services are hosted in multiple Edge Clouds, deployed at the edge of the network distributedly, to reduce the service latency. For mobile users, migrating their services to the most proper Edge Clouds for maintaining a Quality of Service is a non-convex problem. The service migration problem becomes more complex in high mobility scenarios. The goal of the study is to observe how user mobility affects the selection of Edge Cloud during a fixed mobility path. Mobility-Aware Service Migration (MASM) is proposed to optimize service migration based on two main parameters: routing cost and service migration cost, during a high mobility scenario. The performance of the proposed algorithm is compared with an existing greedy algorithm.
Keywords
Service migration; Multi-Access Edge Computing; High mobility; Edge Cloud; QoS;
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