TY - GEN
T1 - Elastic Slicing in Programmable Networks
AU - Turkovic, B.
AU - Nijhuis, S.H.
AU - Kuipers, F.A.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85112040195&partnerID=8YFLogxK
U2 - 10.1109/NetSoft51509.2021.9492528
DO - 10.1109/NetSoft51509.2021.9492528
M3 - Conference contribution
T3 - Proceedings of the 2021 IEEE Conference on Network Softwarization: Accelerating Network Softwarization in the Cognitive Age, NetSoft 2021
SP - 115
EP - 123
BT - Proceedings of the 2021 IEEE Conference on Network Softwarization
A2 - Shiomoto, Kohei
A2 - Kim, Young-Tak
A2 - Rothenberg, Christian Esteve
A2 - Martini, Barbara
A2 - Oki, Eiji
A2 - Choi, Baek-Young
A2 - Kamiyama, Noriaki
A2 - Secci, Stefano
PB - IEEE
ER -