Efficient and low-delay task scheduling for big data clusters in a theoretical perspective

Gao, Yuanxiang, Yu, Hongfang, Luo, Shouxi and Yu, Shui 2016, Efficient and low-delay task scheduling for big data clusters in a theoretical perspective, in GLOBECOM 2016: Proceedings of the 59th IEEE Global Communications Conference, IEEE, Piscataway, N.J., pp. 2242-2247, doi: 10.1109/GLOCOM.2016.7841769.

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Title Efficient and low-delay task scheduling for big data clusters in a theoretical perspective
Author(s) Gao, Yuanxiang
Yu, Hongfang
Luo, Shouxi
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Conference name IEEE Global Communications Conference (59th : 2016 : Washington, D.C.)
Conference location Washington, D.C.
Conference dates 2016/12/04 - 2016/12/08
Title of proceedings GLOBECOM 2016: Proceedings of the 59th IEEE Global Communications Conference
Publication date 2016
Conference series IEEE Global Communications Conference
Start page 2242
End page 2247
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
ISBN 9781509013289
Language eng
DOI 10.1109/GLOCOM.2016.7841769
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30094253

Document type: Conference Paper
Collection: School of Information Technology
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