Deep-Q learning-based heterogeneous earliest finish time scheduling algorithm for scientific workflows in cloud

Kaur, A, Singh, P, Singh Batth, R and Lim, Chee Peng 2020, Deep-Q learning-based heterogeneous earliest finish time scheduling algorithm for scientific workflows in cloud, Software - practice and experience, pp. 1-21, doi: 10.1002/spe.2802.

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Title Deep-Q learning-based heterogeneous earliest finish time scheduling algorithm for scientific workflows in cloud
Author(s) Kaur, A
Singh, P
Singh Batth, R
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Journal name Software - practice and experience
Start page 1
End page 21
Total pages 21
Publisher Wiley
Place of publication Chichester, Eng.
Publication date 2020
ISSN 0038-0644
1097-024X
Notes Early View Article
Language eng
DOI 10.1002/spe.2802
Indigenous content off
Field of Research 08 Information and Computing Sciences
17 Psychology and Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135486

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