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Energy-Efficient Cloud Computing
Abstract
Energy efficiency is increasingly important for future information and communication technologies (ICT), because the increased usage of ICT, together with increasing energy costs and the need to reduce green house gas emissions call for energy-efficient technologies that decrease the overall energy consumption of computation, storage and communications. Cloud computing has recently received considerable attention, as a promising approach for delivering ICT services by improving the utilization of data centre resources. In principle, cloud computing can be an inherently energy-efficient technology for ICT provided that its potential for significant energy savings that have so far focused on hardware aspects, can be fully explored with respect to system operation and networking aspects. Thus this paper, in the context of cloud computing, reviews the usage of methods and technologies currently used for energy-efficient operation of computer hardware and network infrastructure. After surveying some of the current best practice and relevant literature in this area, this paper identifies some of the remaining key research challenges that arise when such energy-saving techniques are extended for use in cloud computing environments.
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Citations
Cited by
On Global Electricity Usage of Communication Technology: Trends to 2030
Andrae, A., & Edler, T. (2015) · Challenges · doi:10.3390/challe6010117 · Cited by 1,334
Bibri, S. E. (2018) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.12.034 · Cited by 799
Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing
Gai, K., Qiu, M., Zhao, H., Tao, L., & Zong, Z. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2015.05.016 · Cited by 489
Load balancing in cloud computing: A big picture
Mishra, S. K., Sahoo, B., & Parida, P. P. (2020) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2018.01.003 · Cited by 384
DENS: Data Center Energy-Efficient Network-Aware Scheduling
Kliazovich, D., Bouvry, P., & Khan, S. U. (2010) · 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing · doi:10.1109/greencom-cpscom.2010.31 · Cited by 239
Metadata
- Authors
- Berl, A., Gelenbe, E., Di Girolamo, M., Giuliani, G., De Meer, H., Dang, M. Q., & Pentikousis, K.
- Venue
- The Computer Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-08-19
- Volume
- 53
- Issue
- 7
- Pages
- 1045-1051
- ISSN
- 0010-4620 (ISSN-L)
- 1460-2067
- OpenAlex
- W2162462435
- Cited by
- 650
- References
- 0
- FWCI
- 124.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Berl, A., Gelenbe, E., Di Girolamo, M., Giuliani, G., De Meer, H., Dang, M. Q., & Pentikousis, K. (2010). Energy-Efficient Cloud Computing. The Computer Journal. https://doi.org/10.1093/comjnl/bxp080
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.