With a wide deployment of Multi-Access Edge Computing (MEC) in the Fifth Generation (5G) mobile networks, virtual network functions (VNF) can be flexibly migrated between difference locations, and therewith significantly enhances the network resilience to counter the degradation in quality of service (QoS) due to network function outages. A balance has to be taken carefully, between the loss reduced by VNF migration and the operations cost generated thereby. To achieve this in practical scenarios with realistic user behavior, it calls for models of both cost and user mobility. This paper proposes a novel cost model and a AI-empowered approach for a rational migration of stateful VNFs, which minimizes the sum of operations cost and potential loss caused by outages, and is capable to deal with the complex realistic user mobility patterns.
@article{arxiv.2101.09343,
title = {AI-Empowered VNF Migration as a Cost-Loss-Effective Solution for Network Resilience},
author = {Amina Lejla Ibrahimpasic and Bin Han and Hans D. Schotten},
journal= {arXiv preprint arXiv:2101.09343},
year = {2021}
}
Comments
Accepted by the IEEE WCNC 2021 Workshop on Intelligent Computing and Caching at the Network Edge