R. A. Addad, D. L. C. Dutra, M. Bagaa, T. Taleb and H. Flinck, "Fast Service Migration in 5G Trends and Scenarios," in IEEE Network, vol. 34, no. 2, pp. 92-98, March/April 2020, doi: 10.1109/MNET.001.1800289
Fast Service Migration in 5G Trends and Scenarios
|Author:||Addad, Rami Akrem1; Dutra, Diego Leonel Cadette2; Bagaa, Miloud1;|
1Aalto University, Espoo, Finland
2Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
3Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland
4Computer and Information Security Department, Sejong University, Seoul, South Korea
5Nokia Bell Labs, Espoo, Finland
|Online Access:||PDF Full Text (PDF, 1.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202103036398
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-03-03
The need for faster and higher-capacity networks that can sustain modern, high-demanding applications has driven the development of 5G technology. Moreover, support for low-latency communication (1ms -10ms) is one of the main requirements of 5G systems. Multi-access Edge Computing (MEC) has been seen as a key component to attain the 5G objectives, since it allows hosting and executing critical services at the vicinity of users, thus reducing the latency to its minimum. Motivated by the evolution of real-time applications, we propose and evaluate two different mechanisms to improve the end-user experience by leveraging container-based live migration technologies. The first solution is aware of the users’ mobility patterns, while the other is oblivious to the users’ paths. Our results show approximately 50 percent reduction in downtime, which demonstrates the efficiency of the proposed solutions compared to prior works using similar underlying technology, i.e., LXC or Docker.
|Pages:||92 - 98|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research work is partially supported by the European Union's Horizon 2020 research and innovation program under the MATILDA project with grant agreement No. 761898. It is also partially funded by the Academy of Finland Projects CSN and 6Genesis under grant agreement No. 311654 and No. 318927, respectively.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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