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 Jg. 11; H. 3; S. 2473 - 2484
Hauptverfasser:	Zhao, Hongyu, Pan, Shanxing, Cai, Zinuo, Chen, Xinglei, Jin, Lingxiao, Gao, Honghao, Wan, Shaohua, Ma, Ruhui, Guan, Haibing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.05.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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
ISSN:	2327-4697, 2334-329X
Online-Zugang:	Volltext
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