EEUI: a new measure to monitor and manage energy efficiency in data centers

Détails

ID Serval
serval:BIB_440D0D070280
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
EEUI: a new measure to monitor and manage energy efficiency in data centers
Périodique
International Journal of Productivity and Performance Management
Auteur(s)
Abaunza F., Hameri A.-P., Niemi T.
ISSN
1741-0401
Statut éditorial
Publié
Date de publication
08/01/2018
Peer-reviewed
Oui
Volume
67
Numéro
1
Pages
111-127
Langue
anglais
Résumé
Data centers (DCs) are similar to traditional factories in many aspects like response time constraints, limited capacity, and utilization levels. Several indicators have been developed to monitor and compare productivity in manufacturing. However, in DCs most used indicators focus on technical aspects of infrastructure, not efficiency of operations. The purpose of this paper is to rely on operations management to define a commensurate and proportionate DC performance indicator: the energy-efficient utilization indicator (EEUI). EEUI makes objective and comparative assessment of efficiency possible independently of the operating environment and its constraints.
Design/methodology/approach
The authors followed a design science approach, which follows the practitioner’s initial steps for finding solutions to business relevant problems prior to theory building. Therefore, this approach fits well with this research, as it is primarily motivated by business and management needs. EEUI combines both the amount of energy consumed by different components and their current energy efficiency (EE). It reaches its highest value when all server components are optimally loaded in EE sense. The authors tested EEUI by collecting data from three scientific DCs and performing controlled laboratory tests.
Findings
The results indicate that the optimization of EEUI makes it possible to run computing resources more efficiently. This leads to a higher EE and throughput of the DC while reducing the carbon footprint associated to DC operations. Both energy-related costs and the total cost of ownership are consequently reduced, since the amount of both energy and hardware resources needed decrease, while improving DC sustainability.
Practical implications
In comparison with current DC operations, the results imply that using the EEUI could help increase the EE of DCs. In order to optimize the proposed EEUIs, DC managers and operators should use resource management policies that increase the resource usage variation of the jobs being processed in the same computing resources (e.g. servers).
Originality/value
The paper provides a novel approach to monitor the EE at which computing resources are used. The proposed indicator not only considers the utilization levels at which server components are used but also takes into account their EE and energy proportionality.
Mots-clé
Energy efficiency, Data centres, Energy proportionality, Energy-efficient computing, Operations management principles, Resource usage efficiency, Strategy and Management, General Business, Management and Accounting
Web of science
Création de la notice
19/05/2016 21:50
Dernière modification de la notice
21/08/2019 5:16
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