面向边缘计算的光网络中基于双向长短期记忆和注意力的在线流量分类方案

2022 Photonics & Electromagnetics Research Symposium (PIERS) Pub Date : 2022-04-25 DOI:10.1109/piers55526.2022.9793135

Zhengjie Sun, Hui Yang, Chao Li, Q. Yao, B. Bao, J. Zhang, Yunbo Li, Dechao Zhang, Dong Wang

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摘要

在面向边缘计算的光网络中，提出了一种基于Bi-LSTM和注意力方法的在线流量分类方案。实验结果表明，该方法在大流量负载条件下实现了高精度、快速的流量分类。

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Online Traffic Classification Scheme Based on Bidirectional Long-short Term Memory and Attention in Edge Computing Oriented Optical Networks

This paper proposes an online traffic classification scheme based on Bi-LSTM and attention approach in edge computing oriented optical networks. Results confirm that the proposed scheme achieves high-accuracy and rapid traffic classification under the condition of large traffic load.

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2022 Photonics & Electromagnetics Research Symposium (PIERS)

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