A survey on stateful data plane in software defined networks
journal contribution
posted on 2020-11-23, 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
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
SYNC: Synergistic Network Policy Management for Cloud Data Centres
Engineering and Physical Sciences Research Council
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Engineering and Physical Sciences Research Council
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History
School
- Science
Department
- Computer Science
Published in
Computer NetworksVolume
184Publisher
ElsevierVersion
- AM (Accepted Manuscript)
Rights holder
© ElsevierPublisher 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.2020.107597Acceptance date
2020-10-08Publication date
2020-10-10Copyright date
2020ISSN
1389-1286Publisher version
Language
- en
Depositor
Dr Posco Tso. Deposit date: 20 November 2020Article number
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