Combining Energy Saving Techniques in Data Centres using Model-Based Analysis-Reference-Cited by-同舟云学术

Combining Energy Saving Techniques in Data Centres using Model-Based Analysis

Published:2018-04-02 Issue: Volume: Page:
ISSN:
Container-title:Companion of the 2018 ACM/SPEC International Conference on Performance Engineering
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Author:

Postema Björn F.¹,Van Damme Tobias²,De Persis Claudio²,Tesi Pietro²,Haverkort Boudewijn R.¹

Affiliation:

1. University of Twente, Enschede, Netherlands

2. University of Groningen, Groningen, Netherlands

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3185768.3186310

Reference12 articles.

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3. Abdul Hameed and etal 2014. A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems. Computing (jun. 2014) 1--24. 10.1007/s00607-014-0407-8 Abdul Hameed and et al. 2014. A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems. Computing (jun. 2014) 1--24. 10.1007/s00607-014-0407-8

4. Justin Moore Jeff Chase Ranganathan Parthasarathy and Sharma Ratnesh. 2005. Making scheduling 'cool' temperature-aware workload placement in data centers USENIX Annual Technical Conference. 61--74. Justin Moore Jeff Chase Ranganathan Parthasarathy and Sharma Ratnesh. 2005. Making scheduling 'cool' temperature-aware workload placement in data centers USENIX Annual Technical Conference. 61--74.

5. Björn F. Postema. 2013. DaCSim: A Data Centre Simulation Framework. https://github.com/bjornpostema/DaCSim. (2013). Björn F. Postema. 2013. DaCSim: A Data Centre Simulation Framework. https://github.com/bjornpostema/DaCSim. (2013).