Towards a Fast Service Migration in 5G
- 1 October 2018
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
Abstract
The development of the 5G technology has been driven by the need for faster and higher-capacity networks that would be able to sustain modern, high-demanding applications and low-latency communication. For achieving such requirements, the services should be shifted towards the vicinity of the users as much as possible. In this scope, Multi-access Edge Cloud (MEC) will play a tremendous role in 5G technology by hosting various services close to the end-users. Thanks to the MEC technology, different services could be placed near the User Equipment (UEs) for enabling very low latency and high bandwidth communication, which is required by real-time applications, such as mobile broadband in vehicles that are characterized by high UEs mobility. In order to ensure the service requirement in terms of low-latency communication, those services should follow (i.e., service migration) the user mobility by placing them always at the closest MEC. Motivated by the evolution of real time applications, we propose and evaluate three different mechanisms to improve the end user experience by using container-based live migration paradigm. In these approaches, we leverage the follow-me edge concept for enabling lightweight live migration. While the two first solutions take into consideration the mobile users' paths (e.g., cars), the third one is oblivious to the users' paths. The obtained results demonstrate the efficiency of these solutions compared to prior works.Keywords
This publication has 6 references indexed in Scilit:
- Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and SolutionsIEEE Communications Surveys & Tutorials, 2018
- On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and OrchestrationIEEE Communications Surveys & Tutorials, 2017
- Mobile Edge Computing Potential in Making Cities SmarterIEEE Communications Magazine, 2017
- Checkpoint and Restore of Micro-service in Docker Containers2015
- Containers and Cloud: From LXC to Docker to KubernetesIEEE Cloud Computing, 2014
- A Markov Decision Process-based service migration procedure for follow me cloud2014