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可編程數(shù)據(jù)平面智能的綜述,IEEE Network出版
來源: 劉外喜/
廣州大學(xué) 電子與通信工程學(xué)院
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2022-12-08

Programmable Data Plane Intelligence: Advances, Opportunities, and Challenge

Recently, Programmable Data Planes (PDPs) have brought new opportunities to unprecedented innovations in network protocols and architectures. Among them, programmable data plane intelligence, including using PDPs for both networking for Machine Learning (ML) and ML for networking, has attracted great interest from researchers. Motivated by this research trend, this article presents a survey of recent advances in the use of PDP in terms of machine learning. We first introduce PDP intelligence and the benefits of assisting ML with PDP. Then, the difficulties of realizing it are shown, which are caused by PDP’s limited capabilities. After that, we present recent advances to cope with the difficulties, where each work is analyzed from multiple perspectives. Finally, we show the opportunities and challenges for further research.

https://ieeexplore.ieee.org/document/9970453

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