Latency and network aware placement for cloud-native 5G/6G services

Kiranpreet Kaur (1, 2) , Fabrice Guillemin (1) , Veronica Quintuna Rodriguez (1) , Francoise Sailhan (2)

1 Orange Labs [Lannion]
2 CEDRIC - ROC - CEDRIC. Réseaux et Objets Connectés

To meet ever more stringent requirements in terms of latency, 5G/6G networks are evolving from centralized to distributed architectures, for which the cloud-native paradigm with services decomposed into microservices is utmost relevant. This in turn raises the issue related to the distribution of network functions. In this paper, we introduce a novel microservice placement strategy considering the internal service composition, notably the communication between microservices. We formulate the placement as an optimization problem with the aim of minimizing end-to-end service latency. We solve the optimization problem with a combination of greedy and genetic algorithms.

Keywords: Microservice placement; Virtualized network function

Domains: Computer Science [cs]

Kiranpreet Kaur, Fabrice Guillemin, Veronica Quintuna Rodriguez, Francoise Sailhan. Latency and network aware placement for cloud-native 5G/6G services. IEEE Consumer Communications & Networking Conference (CCNC), Jan 2022, Las Vegas, United States. pp.114-119, ⟨10.1109/CCNC49033.2022.9700582⟩. ⟨hal-03466765v1⟩