Gustafsson, J, Fredriksson, S, Nilsson-Mäki, M et al. (6 more authors) (2018) A demonstration of monitoring and measuring data centers for energy efficiency using opensource tools. In: Proceedings of the 9th International Conference on Future Energy Systems. ACM e-Energy 2018: Energy-Efficient Computing and Networking, 12-15 Jun 2018, Karlsruhe, Germany. ACM , pp. 506-512. ISBN 978-1-4503-5767-8
Abstract
Data centers are complex systems that require sophisticated operational management approaches to provide the availability of digital services against the backdrop of cost and energy efficiency. To achieve this, data center telemetry data is required since, as is commonly said it is not possible to manage what cannot be measured. This paper details how it is possible to construct the key data center infrastructure management (DCIM) elements of monitoring and measuring by a combination of available opensource software tools that permit both scalability and an environment where analytics can be employed on the data center operation, which can offer relevant insight into energy efficient operational practices.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Association for Computing Machinery. This is an author produced version of a paper published in e-Energy ’18: The Ninth International Conference on Future Energy Systems. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Data centers, monitoring, measuring, opensource software |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Aug 2018 13:07 |
Last Modified: | 02 Aug 2018 23:41 |
Status: | Published |
Publisher: | ACM |
Identification Number: | 10.1145/3208903.3213522 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134000 |