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A survey on stateful data plane in software defined networks

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journal contribution
posted on 23.11.2020, 15:45 authored by Xiaoquan Zhang, Lin Cui, Kaimin Wei, Fung Po TsoFung Po Tso, Yangyang Ji, Weijia Jia
© 2020 Elsevier B.V. Software Defined Networking (SDN), which decouples control plane and data plane, normally stores states on controllers to provide flexible programmability and convenient management. However, recent studies have shown that such configuration may cause frequent and unnecessary interactions between data plane and controllers in some cases. For example, a DDoS detection installed on a controller needs to fetch information from data plane periodically, introducing additional network delay and controller overhead. Thus, stateful data plane is proposed to offload states and operation logics from controller to data plane. Stateful data plane allows switches to perform some operations independently, accelerating packets processing while reducing overhead on both controllers and networks. However, stateful data plane increases the complexity of network devices and imposes many new challenges to the management and schedule of SDN enabled networks. This paper conducts a comprehensive survey on the latest research works and provides insights into stateful data plane. Both stateful data plane platforms and compilers are extensively summarized and analyzed, as well as explicit design of applications based on them. Afterwards, we dwell on the fundamental technologies and research challenges, including implementation considerations of stateful data plane. Finally, we conclude this survey paper with some future works and discuss open research issues.

Funding

FRuIT: The Federated RaspberryPi Micro-Infrastructure Testbed

Engineering and Physical Sciences Research Council

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SYNC: Synergistic Network Policy Management for Cloud Data Centres

Engineering and Physical Sciences Research Council

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Chinese National Research Fund (NSFC) No. 161772235, 61532013 and 61872239

Natural Science Foundation of Guangdong Province*China[http://dx.doi.org/10.13039/501100003453] No. 22020A1515010771

Science and Technology Program of Guangzhou*China [http://dx.doi.org/10.13039/501100004000] No. 3202002030372

Innovate UK project 47198

History

School

  • Science

Department

  • Computer Science

Published in

Computer Networks

Volume

184

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Computer Networks and the definitive published version is available at https://doi.org/10.1016/j.comnet.2020.107597

Acceptance date

08/10/2020

Publication date

2020-10-10

Copyright date

2020

ISSN

1389-1286

Language

en

Depositor

Dr Posco Tso. Deposit date: 20 November 2020

Article number

107597