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https://doi.org/10.1109/ancs.2...
Article . 2017 . Peer-reviewed
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BPFabric: Data Plane Programmability for Software Defined Networks

Authors: Jouet, Simon; Pezaros, Dimitrios P.;

BPFabric: Data Plane Programmability for Software Defined Networks

Abstract

In its current form, OpenFlow, the de facto implementation\ud of SDN, separates the network’s control and data\ud planes allowing a central controller to alter the matchaction\ud pipeline using a limited set of fields and actions.\ud To support new protocols, forwarding logic, telemetry,\ud monitoring or even middlebox-like functions the currently\ud available programmability in SDN is insufficient.\ud In this paper, we introduce BPFabric, a platform, protocol,\ud and language-independent architecture to centrally\ud program and monitor the data plane. BPFabric leverages\ud eBPF, a platform and protocol independent instruction\ud set to define the packet processing and forwarding functionality\ud of the data plane. We introduce a control plane\ud API that allows data plane functions to be deployed onthe-fly,\ud reporting events of interest and exposing network\ud internal state.\ud We present a raw socket and DPDK implementation\ud of the design, the former for large-scale experimentation\ud using environment such as Mininet and the latter for\ud high-performance low-latency deployments. We show\ud through examples that functions unrealisable in OpenFlow\ud can leverage this flexibility while achieving similar\ud or better performance to today’s static design.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
Green