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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 
2 CEDRIC - ROC - CEDRIC. Réseaux et Objets Connectés
CEDRIC - Centre d'études et de recherche en informatique et communications
Abstract : 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.
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Contributor : Francoise Sailhan Connect in order to contact the contributor
Submitted on : Monday, December 6, 2021 - 10:58:40 AM
Last modification on : Wednesday, September 28, 2022 - 5:58:27 AM
Long-term archiving on: : Monday, March 7, 2022 - 6:29:06 PM


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  • HAL Id : hal-03466765, version 1



Kiranpreet Kaur, Fabrice Guillemin, Veronica Quintuna Rodriguez, Francoise Sailhan. Latency and network aware placement for cloud-native 5G/6G services. Consumer Communications & Networking Conference (CCNC), Jan 2022, virtual, France. ⟨hal-03466765⟩



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