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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

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/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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Dates and versions

hal-03022144 , version 1 (24-11-2020)

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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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