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Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport

Baliga, J, Ayre, R W A, Hinton, K, Tucker, R S·2011·Proceedings of the IEEE

Abstract

Network-based cloud computing is rapidly expanding as an alternative to conventional office-based computing. As cloud computing becomes more widespread, the energy consumption of the network and computing resources that underpin the cloud will grow. This is happening at a time when there is increasing attention being paid to the need to manage energy consumption across the entire information and communications technology (ICT) sector. While data center energy use has received much attention recently, there has been less attention paid to the energy consumption of the transmission and switching networks that are key to connecting users to the cloud. In this paper, we present an analysis of energy consumption in cloud computing. The analysis considers both public and private clouds, and includes energy consumption in switching and transmission as well as data processing and data storage. We show that energy consumption in transport and switching can be a significant percentage of total energy consumption in cloud computing. Cloud computing can enable more energy-efficient use of computing power, especially when the computing tasks are of low intensity or infrequent. However, under some circumstances cloud computing can consume more energy than conventional computing where each user performs all computing on their own personal computer (PC).

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Metadata

Authors
Baliga, J., Ayre, R. W. A., Hinton, K., & Tucker, R. S.
Venue
Proceedings of the IEEE
Published
2011-01
Volume
99
Issue
1
Pages
149-167
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
OpenAlex
W2065088268
Cited by
840
References
0
FWCI
49.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport. https://app.cochat.ai/papers/10.1109/jproc.2010.2060451
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Baliga, J., Ayre, R. W. A., Hinton, K., & Tucker, R. S. (2011). Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2010.2060451

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.