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Journal Articles Proceedings of the IEEE Year : 2019

Survey of Performance Acceleration Techniques for Network Function Virtualization

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Salvatore Pontarelli
  • Function : Author
Gábor Rétvári
  • Function : Author
D. Rossi
Thomas Zinner
  • Function : Author
Roberto Bifulco
  • Function : Author
Michael Jarschel
  • Function : Author
Giuseppe Bianchi
  • Function : Author


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/hardwired network functions towards 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 article 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 highlevel 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.
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hal-03022144 , version 1 (24-11-2020)



Leonardo Linguaglossa, Stanislav Lange, Salvatore Pontarelli, Gábor Rétvári, D. Rossi, et al.. Survey of Performance Acceleration Techniques for Network Function Virtualization. Proceedings of the IEEE, 2019, ⟨10.1109/JPROC.2019.2896848⟩. ⟨hal-03022144⟩
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