Switch-Centric Byzantine Fault Tolerance Mechanism in Distributed Software Defined Networks

Han, Sol; Jang, Seokwon; Lee, Hochan; Pack, Sangheon

doi:10.1109/lcomm.2020.3004038

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…To keep the correct operation in a distributed SDN through Byzantine Fault Tolerance (BFT), the efficiency and scalability would be compromised due the delay and traffic load imposed by the consensus procedure. To overcome this overhead, Sakic et al in [131], [132], and Han et al [133] leverage in-network computing.…”

Section: A Consensus Protocolsmentioning

confidence: 99%

“…In the context of the same SDN architecure as in [131], [132], Han et al [133] offload complete functionalities of the BFT to the programmable switches. Furthermore, time synchronization and state synchronization are also performed in programmable switch to reduce the communication and latency overhead imposed by communication among controllers.…”

Section: A Consensus Protocolsmentioning

confidence: 99%

“…A fraction of Raft consensus protocol in [129], and a modified version of it in [130] has been offloaded to programmable switches. Byzantine Fault Tolerance functions in the proposed protocols for persistence and correct operations in distributed SDN have been offloaded to programmable switches [131], [132], [133].…”

Section: Summary Comparisons Insights and Lessons Learnedmentioning

confidence: 99%

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A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications

Kianpisheh

Taleb

2023

IEEE Commun. Surv. Tutorials

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In comparison with cloud computing, edge computing offers processing at locations closer to end devices and reduces the user experienced latency. The new recent paradigm of innetwork computing employs programmable network elements to compute on the path and prior to traffic reaching the edge or cloud servers. It advances common edge/cloud server based computing through proposing line rate processing capabilities at closer locations to the end devices. This paper discusses use cases, enabler technologies and protocols for in-network computing. According to our study, considering programmable data plane as an enabler technology, potential in-network computing applications are in-network analytics, in-network caching, innetwork security, and in-network coordination. There are also technology specific applications of in-network computing in the scopes of cloud computing, edge computing, 5G/6G, and NFV. In this survey, the state of the art, in the framework of the proposed categorization, is reviewed. Furthermore, comparisons are provided in terms of a set of proposed criteria which assess the methods from the aspects of methodology, main results, as well as application-specific criteria. Finally, we discuss lessons learned and highlight some potential research directions.

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Section: A Consensus Protocolsmentioning

confidence: 99%