Survivability Assessment of 5G Network Slicing During Massive Outages
Paper in proceeding, 2023

Mobile networks support variety of heterogeneous services, including the emergency and mission-critical ones. The next generation of mobile networks introduces the concept of network slicing where different services can have a dedicated, logically separated virtual network running over a shared physical infrastructure. Each slice may have a specific set of functional and non-functional requirements including performance, security, resilience, and survivability. Given the importance of emergency services during massive outages caused by a natural disaster, the network operators need an efficient way to evaluate the performance of the sliced network in such adverse circumstances. In this paper, we describe how survivability quantification framework can be applied to assess and compare the performance of different slicing configurations during and after massive outages. We demonstrate our proposal in a simplified use-case scenario where the performance metric for each stage of the recovery is represented with delay and throughput of the clients at a sliced, shared bottleneck. The metrics are acquired from OMNeT++ simulations. Survivability is then obtained from an analytical model and the time until the critical services (for the first responders) are recovered is of particular interest. In the scenario we consider 8 application types, 4 priority levels, and 5 approaches to map clients to slices. The results show significant performance variations between different slicing configurations, both for the critical and non-critical applications and thus highlight the importance of having a slicing configuration optimally tailored to the use case.

network resilience

disaster recovery

SG network slicing

Survivability

critical infras-tructure

Author

Marija Gajic

Norwegian University of Science and Technology (NTNU)

Stanislav Lange

Norwegian University of Science and Technology (NTNU)

Trond Vatten

Norwegian University of Science and Technology (NTNU)

Marija Furdek Prekratic

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Poul Heegaard

Norwegian University of Science and Technology (NTNU)

Proceedings of 2023 13th International Workshop on Resilient Networks Design and Modeling, RNDM 2023


9798350327359 (ISBN)

13th International Workshop on Resilient Networks Design and Modeling, RNDM 2023
Hamburg, Germany,

Secured autonomic traffic management for a Tera of SDN flows (TeraFlow)

European Commission (EC) (EC/H2020/101015857), 2021-01-01 -- 2023-06-30.

Subject Categories

Telecommunications

Communication Systems

Computer Systems

DOI

10.1109/RNDM59149.2023.10293082

More information

Latest update

12/20/2023