Kubernetes container orchestration technology is beginning to address telco Network Function Virtualization (NFV) deployment needs of: i) multiple data-plane interfaces and one management-plane interface, and ii) support for various protocols/software stacks targeting I/O performance, including software acceleration technologies and software switch architectures. The purpose of this work is to accurately benchmark different network-virtualization architectures (OvS-DPDK, SR-IOV and VPP) in a Kubernetes deployment for telco data plane configurations. By leveraging industry-standard testing methodologies and an open source testing framework (VSPERF) that can control different hardware-based commercial and open source traffic generators, we benchmark the data plane of the telco NFV deployments. We also study the effects of different resource allocation strategies (CPU-Pinning, compute and storage resource variations, NUMA) on the data plane performance.

Benchmarking Kubernetes Container-Networking for Telco Usecases

Federica Paganelli;
2021-01-01

Abstract

Kubernetes container orchestration technology is beginning to address telco Network Function Virtualization (NFV) deployment needs of: i) multiple data-plane interfaces and one management-plane interface, and ii) support for various protocols/software stacks targeting I/O performance, including software acceleration technologies and software switch architectures. The purpose of this work is to accurately benchmark different network-virtualization architectures (OvS-DPDK, SR-IOV and VPP) in a Kubernetes deployment for telco data plane configurations. By leveraging industry-standard testing methodologies and an open source testing framework (VSPERF) that can control different hardware-based commercial and open source traffic generators, we benchmark the data plane of the telco NFV deployments. We also study the effects of different resource allocation strategies (CPU-Pinning, compute and storage resource variations, NUMA) on the data plane performance.
2021
978-1-7281-8104-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1107658
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