Towards studying service function chain migration patterns in 5G networks and beyond

Given the indispensable need for a reliable network architecture to cope with 5G networks, 3GPP introduced a covet technology dubbed 5G Service Based Architecture (5G-SBA). Meanwhile, Multi-access Edge Computing (MEC) combined with SBA conveys a better experience to end-users by bringing application hosting from centralized data centers down to the network edge, closer to consumers and the data generated by applications. Both the 3GPP and the ETSI proposals offered numerous benefits, particularly the ability to deliver highly customizable services. Nevertheless, compared to large datacenters that tolerate the hosting of standard virtualization technologies (Virtual Machines (VMs) and servers), MEC nodes are characterized by lower computational resources, thus the debut of lightweight micro-service based applications. Motivated by the deficiency of current micro-services-based applications to support users’ mobility and assuming that all these issues are under the umbrella of Service Function Chain (SFC) migrations, we aim to introduce, explain and evaluate diverse SFC migration patterns. The obtained results demonstrate that there is no clear vanquisher, but selecting the right SFC migration pattern depends on users’ motion, applications’ requirements, and MEC nodes’ resources.

Addad Rami Akrem, Dutra Diego Leonel Cadette, Bagaa Miloud, Taleb Tarik, Flinck Hannu

A4 Article in conference proceedings

2019 IEEE Global Communications Conference, GLOBECOM 2019

R. A. Addad, D. L. C. Dutra, M. Bagaa, T. Taleb and H. Flinck, "Towards Studying Service Function Chain Migration Patterns in 5G Networks and Beyond," 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1-6, doi: 10.1109/GLOBECOM38437.2019.9013983

https://doi.org/10.1109/GLOBECOM38437.2019.9013983 http://urn.fi/urn:nbn:fi-fe2020061543214