Edge4Sys: A Device-Edge Collaborative Framework for MEC based Smart Systems

Gao, H, Xu, Y, Liu, Xiao, Xu, J, Chen, T, Zhou, B, Li, Rui and Li, X 2020, Edge4Sys: A Device-Edge Collaborative Framework for MEC based Smart Systems, in ASE 2020 : Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, IEEE, Piscataway, N.J., pp. 1252-1254, doi: 10.1145/324884.3418908.

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Title Edge4Sys: A Device-Edge Collaborative Framework for MEC based Smart Systems
Author(s) Gao, H
Xu, Y
Liu, XiaoORCID iD for Liu, Xiao orcid.org/0000-0001-8400-5754
Xu, J
Chen, T
Zhou, B
Li, Rui
Li, X
Conference name Automated Software Engineering. Conference (2020 : 35th : Online from Melbourne, Victoria)
Conference location Online from Melbourne, Victoria
Conference dates 21-25 Sep. 2020
Title of proceedings ASE 2020 : Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
Publication date 2020
Start page 1252
End page 1254
Total pages 3
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Smart Systems
Mobile Edge Computing
Device-Edge Collaboration
Deep Learning
CORE2020 A
ISBN 9781450367684
Language eng
DOI 10.1145/324884.3418908
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147446

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