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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on network science and engineering Ročník 11; číslo 3; s. 2473 - 2484
Hlavní autoři:	Zhao, Hongyu, Pan, Shanxing, Cai, Zinuo, Chen, Xinglei, Jin, Lingxiao, Gao, Honghao, Wan, Shaohua, Ma, Ruhui, Guan, Haibing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.05.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!