Machine Learning-Based Prediction Models for Control Traffic in SDN Systems-Reference-Cited by-同舟云学术

Machine Learning-Based Prediction Models for Control Traffic in SDN Systems

Author:

Yoo Yeonho¹^ORCID,Yang Gyeongsik¹^ORCID,Shin Changyong¹^ORCID,Lee Junseok¹^ORCID,Yoo Chuck¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea

Funder

Basic Science Research Program

National Research Foundation of Korea

Ministry of Education

NRF

Google Cloud Research Credits Program

Korea University Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

Reference53 articles.

3. Orion: Googles software-defined networking control plane;Ferguson

4. SD-Fabric,2022

5. SDN in NFV architectural framework;Odini;IEEE Softw. Defined Netw. Newslett.,2016

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