Survey of Performance Acceleration Techniques for Network Function Virtualization

Leonardo Linguaglossa, Stanislav Lange, Salvatore Pontarelli, Gábor Rétvári, Dario Rossi, Thomas Zinner, Roberto Bifulco, Michael Jarschel, Giuseppe Bianchi

Proceedings of the IEEE · 2019 · 116 citations · 71 references

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Abstract

The ongoing network softwarization trend holds the promise to revolutionize network infrastructures by making them more flexible, reconfigurable, portable, and more adaptive than ever. Still, the migration from hard-coded/hard-wired network functions toward their software-programmable counterparts comes along with the need for tailored optimizations and acceleration techniques so as to avoid or at least mitigate the throughput/latency performance degradation with respect to fixed function network elements. The contribution of this paper is twofold. First, we provide a comprehensive overview of the host-based network function virtualization (NFV) ecosystem, covering a broad range of techniques, from low-level hardware acceleration and bump-in-the-wire offloading approaches to high-level software acceleration solutions, including the virtualization technique itself. Second, we derive guidelines regarding the design, development, and operation of NFV-based deployments that meet the flexibility and scalability requirements of modern communication networks.

References

71