Network Function Virtualization (NFV) aims at bringing the benefits of virtualization to network middleboxes (routers, firewalls, Intrusion Detection Systems, ...). In the last few years the NFV use-case, initially hampered by the poor performance of traditional virtualized-I/O and network stacks, has prompted the design of several frameworks, all trying to provide a fast network for VMs and/or containers. These solutions share many common ideas, but also differ in performance, flexibility, portability, amount of specialized hardware required and/or software to be rewritten, attention to energy consumption issues, and so on. In this survey we focus on the NFV data-path, as opposed to the orthogonal control-path. We define a set of desirable features for NFV data-paths and use them to compare a selection of the most promising and/or widely used NFV frameworks. No single solution is optimal for all the features, so our survey may prompt for further research in this area.

A Survey of Fast Packet I/O Technologies for Network Function Virtualization

LETTIERI, GIUSEPPE;MAFFIONE, VINCENZO;RIZZO, LUIGI
2017-01-01

Abstract

Network Function Virtualization (NFV) aims at bringing the benefits of virtualization to network middleboxes (routers, firewalls, Intrusion Detection Systems, ...). In the last few years the NFV use-case, initially hampered by the poor performance of traditional virtualized-I/O and network stacks, has prompted the design of several frameworks, all trying to provide a fast network for VMs and/or containers. These solutions share many common ideas, but also differ in performance, flexibility, portability, amount of specialized hardware required and/or software to be rewritten, attention to energy consumption issues, and so on. In this survey we focus on the NFV data-path, as opposed to the orthogonal control-path. We define a set of desirable features for NFV data-paths and use them to compare a selection of the most promising and/or widely used NFV frameworks. No single solution is optimal for all the features, so our survey may prompt for further research in this area.
2017
978-3-319-67629-6
978-3-319-67630-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/875253
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