Survivability Assessment of 5G Network Slicing During Massive Outages

Marija Gajić, Stanislav Lange, Trond Vatten, Marija Furdek, Poul E. Heegaard

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2023 13th International Workshop on Resilient Networks Design and Modeling, RNDM 2023
EditorsMathias Fischer, Jacek Rak, Andreas Kassler, Andreas Kassler
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350327359
DOIs
StatePublished - 2023
Externally publishedYes
Event13th International Workshop on Resilient Networks Design and Modeling, RNDM 2023 - Hamburg, Germany
Duration: 20 Sep 202322 Sep 2023

Publication series

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

Conference

Conference13th International Workshop on Resilient Networks Design and Modeling, RNDM 2023
Country/TerritoryGermany
CityHamburg
Period20/09/2322/09/23

Keywords

  • SG network slicing
  • Survivability
  • critical infras-tructure
  • disaster recovery
  • network resilience

Fingerprint

Dive into the research topics of 'Survivability Assessment of 5G Network Slicing During Massive Outages'. Together they form a unique fingerprint.

Cite this