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

Autor: Kiranpreet Kaur, Fabrice Guillemin, Veronica Quintuna Rodriguez, Francoise Sailhan
Přispěvatelé: Sailhan, Francoise, Orange Labs [Lannion], France Télécom, CEDRIC. Réseaux et Objets Connectés (CEDRIC - ROC), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Consumer Communications & Networking Conference (CCNC)
Consumer Communications & Networking Conference (CCNC), Jan 2021, virtual, France
Popis: International audience; 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.
Databáze: OpenAIRE