Analysis of SD-WAN Packets using Machine Learning Algorithm

Emmanuel, Ikiomoye Douglas; Linge, Nigel; Hill, Steve

doi:10.1109/ictas56421.2023.10082743

2023 Conference on Information Communications Technology and Society (ICTAS) 2023

DOI: 10.1109/ictas56421.2023.10082743

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Analysis of SD-WAN Packets using Machine Learning Algorithm

Ikiomoye Douglas Emmanuel

Nigel Linge

Steve Hill

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2024

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Cited by 1 publication

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Software-Defined Wide Area Networks (SD-WANs): A Survey

Fu,

Wang,

Wang

2024

Electronics

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SD-WANs are an innovative software-defined network (SDN) technology used to reinvent networks, services, and applications in wide area network (WANs). The development of SD-WANs ranges from network optimization in the past to service provision platforms at present and distributed computing systems in the future. The existing surveys on SD-WANs are fragmented, covering specific problems only, and are not comprehensive with detailed research directions. This paper seeks to provide a systematic survey on SD-WANs by introducing major research directions and stating specific problems. Therefore, four major research directions related to traffic engineering, network optimization and systems, service orchestration, and the security issues of SD-WANs are sequentially introduced, along with detailed statements relating to specific problems and the classification of state-of-the-art research. Finally, the trends and challenges regarding SD-WANs are summarized and our future work is described.

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Software-Defined Wide Area Networks (SD-WANs): A Survey

Fu,

Wang,

Wang

2024

Electronics

View full text Add to dashboard Cite

show abstract

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Analysis of SD-WAN Packets using Machine Learning Algorithm

Cited by 1 publication

References 22 publications

Software-Defined Wide Area Networks (SD-WANs): A Survey

Software-Defined Wide Area Networks (SD-WANs): A Survey

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