Machine Intelligence in Supervising Bandwidth Allocation for Low-latency Communications

Ruan, Lihua, Dias, Imali and Wong, Elaine 2019, Machine Intelligence in Supervising Bandwidth Allocation for Low-latency Communications, in HPSR 2019 : Proceedings of the 2019 IEEE 20th International Conference on High Performance Switching and Routing, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/hpsr.2019.8808127.

Attached Files
Name Description MIMEType Size Downloads

Title Machine Intelligence in Supervising Bandwidth Allocation for Low-latency Communications
Author(s) Ruan, Lihua
Dias, ImaliORCID iD for Dias, Imali orcid.org/0000-0003-0773-8166
Wong, Elaine
Conference name High performance switching and routing. International conference (20th : 2019 : Xi'An, China)
Conference location Xi'An, China
Conference dates 2019/05/26 - 2019/05/29
Title of proceedings HPSR 2019 : Proceedings of the 2019 IEEE 20th International Conference on High Performance Switching and Routing
Editor(s) [Unknown]
Publication date 2019
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) machine learning
artificial neural network
dynamic bandwidth allocation
low latency
optical access networks
CORE2018 C
ISBN 9781728116860
ISSN 2325-5609
2325-5595
Language eng
DOI 10.1109/hpsr.2019.8808127
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30145061

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 13 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 16 Nov 2020, 10:15:25 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.