MARS: Machine learning-based Adaptable and Robust network management for Software-defined networks

Presenter Information

Ilker Ozcelik, University of Tennessee at ChattanoogaFollow
Farah Kandah, University of Tennessee at ChattanoogaFollow
Brennan Huber, University of Tennessee at ChattanoogaFollow

Start Date

15-4-2020 1:00 PM

End Date

15-4-2020 3:00 PM

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

MARS is an adaptable and robust network management approach using machine learning while considering the control plane architecture for software-defined networks. Project goal is enhancing the network resource utilization and SDN scalability.

Date

4-15-2020

Document Type

presentations

Language

English

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

http://creativecommons.org/licenses/by-sa/4.0/

Recommended Citation

Ozcelik, Ilker; Kandah, Farah; and Huber, Brennan, "MARS: Machine learning-based Adaptable and Robust network management for Software-defined networks". ReSEARCH Dialogues Conference proceedings. https://scholar.utc.edu/research-dialogues/2020/day2_presentations/55.