Supervision : Marc SHAPIRO

Co-supervision : IMADALI Sofiane, MARTELLI Frédéric

A study of data consistency constraints in 5G, applied to limiting resource usage in network slices

The 5G network specification requires ACID properties (Atomicity, Consistency, Isolation, Durability) for its distributed database. According to the CAP theorem, these properties are incompatible with high availability for a geo-distributed system. Since availability is an obligation for mobile networks, this contradiction challenges the specification.
Our thesis focus on a study of the usage of data in the network that allow us to extract weaker consistency properties that are still sufficient to maintain the correctness of the data.
In the case a Network Slicing, an innovation of the 5G network, we propose to study further the enforcement of one of these properties, through the example of the enforcement of a global limit on the resource usage of a slice.
Slices are deployed over a potentially large area, and so is their data, which make the enforcement of a limit more challenging. We propose several algorithms placed at different points of the consistency spectrum and study their performance in a simulation of the 5G network.

2020-2021 Publications

• 2021
  • J. Sid‑Otmane : “Étude des contraintes de cohérence des données dans la 5G, appliquée aux limitations d’usage de ressources dans les slices réseau”, thesis, phd defence 12/13/2021, supervision Shapiro, Marc, co-supervision : Imadali, Sofiane, Martelli, Frédéric (2021)
• 2020
  • J. Sid‑Otmane, S. Imadali, F. Martelli, M. Shapiro : “Data Consistency in the 5G Specification”, ICIN 2020 - 23^rd Conference on Innovation in Clouds, Internet and Networks and Workshops, Paris, France, pp. 110-117, (IEEE) (2020)