faaShark: An End-to-End Network Traffic Analysis System Atop Serverless Computing

The prosperity of the Internet has made network traffic analysis increasingly indispensable in network operation. With the development of machine learning, more researchers and engineers are using deep learning models for network traffic analysis. However, the rapidly growing data size and model com...

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Veröffentlicht in:	IEEE transactions on network science and engineering 2024-05, Vol.11 (3), p.2473-2484
Hauptverfasser:	Zhao, Hongyu, Pan, Shanxing, Cai, Zinuo, Chen, Xinglei, Jin, Lingxiao, Gao, Honghao, Wan, Shaohua, Ma, Ruhui, Guan, Haibing
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytical models Cloud computing cold start Communications traffic Computational modeling Deep learning Design optimization distributed training Load modeling Machine learning Network analysis Network traffic analysis Optimization algorithms Resource scheduling Serverless computing Telecommunication traffic Traffic analysis Traffic models Training
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