The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Cutting the electric bill for internet-scale systems
Open accessAbstract
Energy expenses are becoming an increasingly important fraction of data center operating costs. At the same time, the energy expense per unit of computation can vary significantly between two different locations. In this paper, we characterize the variation due to fluctuating electricity prices and argue that existing distributed systems should be able to exploit this variation for significant economic gains. Electricity prices exhibit both temporal and geographic variation, due to regional demand differences, transmission inefficiencies, and generation diversity. Starting with historical electricity prices, for twenty nine locations in the US, and network traffic data collected on Akamai's CDN, we use simulation to quantify the possible economic gains for a realistic workload. Our results imply that existing systems may be able to save millions of dollars a year in electricity costs, by being cognizant of locational computation cost differences.
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Cites
The Case for Energy-Proportional Computing
Barroso, L. A., & Hölzle, U. (2007) · Computer · doi:10.1109/mc.2007.443 · Cited by 2,491
Power provisioning for a warehouse-sized computer
Fan, X., Weber, W.-D., & Barroso, L. A. (2007) · Proceedings of the 34th annual international symposium on Computer architecture · doi:10.1145/1250662.1250665 · Cited by 1,797
PowerNap: eliminating server idle power
Meisner, D., Gold, B. T., & Wenisch, T. F. (2009) · Proceedings of the 14th international conference on Architectural support for programming languages and operating systems · doi:10.1145/1508244.1508269 · Cited by 901
Power Awareness in Network Design and Routing
Chabarek, J., Sommers, J., Barford, P., Estan, C., Tsiang, D., & Wright, S. (2008) · IEEE INFOCOM 2008 - The 27th Conference on Computer Communications · doi:10.1109/infocom.2008.93 · Cited by 702
Energy-aware server provisioning and load dispatching for connection-intensive internet services
Gong, C., He, W., Liu, J., Nath, S., Rigas, L., Xiao, L., & Zhao, F. (2008) · Cited by 654
The Trouble With Electricity Markets: Understanding California's Restructuring Disaster
Borenstein, S. (2002) · Journal of Economic Perspectives · doi:10.1257/0895330027175 · Cited by 558
Delivering energy proportionality with non energy-proportional systems: optimizing the ensemble
Tolia, N. H., Wang, Z., Marwah, M., Bash, C. E., Ranganathan, P., & Zhu, X. (2008) · Cited by 153
Martin, K., Joskow, P. L., & Ellerman, A. D. (2007) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 20
Cited by
Data Center Energy Consumption Modeling: A Survey
Dayarathna, M., Wen, Y., & Fan, R. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2481183 · Cited by 1,165
The Akamai network: a platform for high-performance internet applications
Nygren, E., Sitaraman, R. K., & Sun, J. (2010) · ACM SIGOPS Operating Systems Review · doi:10.1145/1842733.1842736 · Cited by 726
Erol-Kantarci, M., & Mouftah, H. T. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2341600 · Cited by 444
Ensuring Safety, Security, and Sustainability of Mission-Critical Cyber–Physical Systems
Banerjee, A., Venkatasubramanian, K. K., Mukherjee, T., & Gupta, S. K. S. (2012) · Proceedings of the IEEE · doi:10.1109/jproc.2011.2165689 · Cited by 318
Online algorithms for geographical load balancing
Lin, M., Liu, Z., Wierman, A., & Andrew, L. L. H. (2012) · 2012 International Green Computing Conference (IGCC) · doi:10.1109/igcc.2012.6322266 · Cited by 290
Metadata
- Authors
- Qureshi, A., Weber, R., Balakrishnan, H., Guttag, J., & Maggs, B.
- Venue
- Proceedings of the ACM SIGCOMM 2009 conference on Data communication
- Publisher
- ACM
- Published
- 2009-08-16
- Pages
- 123-134
- OpenAlex
- W2139041001
- Cited by
- 830
- References
- 8
- FWCI
- 55.53
- Type
- conference paper
- Language
- en
- Open access
- green
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- Qureshi, A., Weber, R., Balakrishnan, H., Guttag, J., & Maggs, B. (2009). Cutting the electric bill for internet-scale systems. Proceedings of the ACM SIGCOMM 2009 conference on Data communication. https://doi.org/10.1145/1592568.1592584
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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.
