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Energy efficient job scheduling with workload prediction on cloud data center

Crossref DOI link: https://doi.org/10.1007/s10586-018-2154-7

Published Online: 2018-02-26

Published Print: 2018-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Tang, Xiaoyong

Liao, Xiaoyi

Zheng, Jie

Yang, Xiaopan
Funding

Funding for this research was provided by:

Hunan Provincial Innovation Foundation For Postgraduate (CX2016B316)

National Natural Science Foundation of China (61370098)

National Natural Science Foundation of China (61672219)

National Key Research and Development Program of China (2016YFB0201402)
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Text and Data Mining valid from 2018-02-26
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Article History

Received: 26 April 2017

Revised: 15 December 2017

Accepted: 11 February 2018

First Online: 26 February 2018