SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

NEW METRICS FOR THE MEASUREMENT OF ENERGY EFFICIENCY IN DATA CENTERS

Delia Radulescu

First published: 2018-06-20https://doi.org/10.5593/sgem2018/2.1/s07.077View metrics

Abstract

The last decades witnessed an explosive increase of the demand for digital data in the economy. This led to a significant growth in the number and the sizes of data centers. The energy used by the data centers has increased dramatically. This situation determined the quest for metrics that measures energy efficiency in data centers. A classical metric for measuring energy efficiency in data centers is PUE (Power Usage Effectiveness). It was introduced in 2006 by C. Malone and Christian Belady. It is defined as the ratio between the PDC (total power used in the data center) and PIT (the power used for the IT equipment). PDC is the energy requirement for the major IT components of the data center plus the energy for supporting the infrastructure. The infrastructure is composed by: power delivery components, cooling system components and other miscellaneous component loads, such as data center lighting. PIT is the energy requirements associated with all the major IT components of the data center, such as server, storage, network, and other devices (KVM switches, monitors, and workstations/laptops) used to monitor or otherwise control the data center. PUE is a very popular metric for measuring energy efficiency in data centers. It has advantages and disadvantages. The present paper proposes an analysis of new metrics for measuring energy efficiency in data centers. This thing is necessary in order to attain sustainability goals. A globally accepted metric on the energy efficiency of computer servers in business applications is still missing, despite a great interest from stakeholders. Some complementary metrics and new metrics for improving PUE are synthesized. This analysis can help researchers to identify the main trends of energy efficiency assessment in data centers. The paper provides also a comprehensive and critical survey of energy efficiency metrics in data centers. It motivates the quest for new metrics for the assessment of data centers energy efficiency.

Publication Impact Profile

PlumX
  • Citations
  • Scopus - Citation Indexes: 3
  • Captures
  • Mendeley - Readers: 8
PLUMX see details

Publication details

Title
NEW METRICS FOR THE MEASUREMENT OF ENERGY EFFICIENCY IN DATA CENTERS
Authors
Delia Radulescu
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2018
Pages
603-610
SWS Citekey
Radulescu20187603610
ISSN
1314-2704
ISBN
978-619-7408-39-3
Language
en
Publication type
Conference Paper
Keywords
metrics for energy efficiencydata centersPUEenergy
References0
0references registered for this publication

Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list