Traffic matrix prediction and estimation based on deep learning for data center networks

Nie, Laisen, Jiang, Dingde, Guo, Lei, Yu, Shui and Song, Houbing 2017, Traffic matrix prediction and estimation based on deep learning for data center networks, in GC Wkshps 2016 : Proceedings of the 2016 IEEE Globecom Workshops, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-6, doi: 10.1109/GLOCOMW.2016.7849067.

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Title Traffic matrix prediction and estimation based on deep learning for data center networks
Author(s) Nie, Laisen
Jiang, Dingde
Guo, Lei
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Song, Houbing
Conference name IEEE Communications Society. Conference (2017 : Washington, D.C.)
Conference location Washington, D.C.
Conference dates 2016/12/04 - 2016/12/08
Title of proceedings GC Wkshps 2016 : Proceedings of the 2016 IEEE Globecom Workshops
Editor(s) [Unknown]
Publication date 2017
Series IEEE Communications Society Conference
Start page 1
End page 6
Total pages 6
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) estimation
computer architecture
machine learning
predictive models
logistics
routing
probability distribution
science & technology
technology
engineering, electrical & electronic
telecommunications
engineering
ISBN 9781509024827
Language eng
DOI 10.1109/GLOCOMW.2016.7849067
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30094251

Document type: Conference Paper
Collection: School of Information Technology
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