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Elastic Slicing in Programmable Networks

Authors :
Turkovic, B.
Nijhuis, S.H.
Kuipers, F.A.
Shiomoto, Kohei
Kim, Young-Tak
Rothenberg, Christian Esteve
Martini, Barbara
Oki, Eiji
Choi, Baek-Young
Kamiyama, Noriaki
Secci, Stefano
Source :
Proceedings of the 2021 IEEE Conference on Network Softwarization: Accelerating Network Softwarization in the Cognitive Age, NetSoft 2021, Proceedings of the 2021 IEEE Conference on Network Softwarization, NetSoft
Publication Year :
2021

Abstract

The concept of network slicing enables operators to provision multiple virtual networks on top of a single (shared) physical infrastructure. Adding elasticity to slicing, i.e., the ability to on-demand provision/release dedicated network resources, improves resource utilization. However, efficiently allocating and scaling slice resources, while maintaining state consistency, is challenging. Especially with P4-programmab1e network devices that process packets at Tbps speeds, controller-driven scaling of network functions would be too time-consuming, and data-plane scaling is needed. In this paper, we address this need, by developing a custom scaling protocol and framework that can consistently, with negligible delay, scale network slices and functions transparently to the slice end-users. We compare, via emulation and experiments on programmable hardware, our approach to state-of-the-art scaling techniques and demonstrate significant slice resource utilization improvements and scaling duration reductions.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the 2021 IEEE Conference on Network Softwarization: Accelerating Network Softwarization in the Cognitive Age, NetSoft 2021, Proceedings of the 2021 IEEE Conference on Network Softwarization, NetSoft
Accession number :
edsair.doi.dedup.....dc80bcd45a3bca9e46786d19dfc93b3c