The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Greening geographical load balancing
Abstract
Energy expenditure has become a significant fraction of data center operating costs. Recently, "geographical load balancing" has been suggested to reduce energy cost by exploiting the electricity price differences across regions. However, this reduction of cost can paradoxically increase total energy use.
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Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
Beloglazov, A., Buyya, R., Lee, Y. C., & Zomaya, A. (2011) · Advances in Computers · doi:10.1016/b978-0-12-385512-1.00003-7 · Cited by 777
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
Zeng, D., Gu, L., Guo, S., Cheng, Z., & Yu, S. (2016) · IEEE Transactions on Computers · doi:10.1109/tc.2016.2536019 · Cited by 426
(2018) · doi:10.1109/tcc.2016.2535201 · Cited by 39
Energy Efficient Indivisible Workload Distribution in Geographically Distributed Data Centers
Khalil, M. I. K., Ahmad, I., & Almazroi, A. A. (2019) · IEEE Access · doi:10.1109/access.2019.2924085 · Cited by 26
Dynamic data center load response to variability in private and public electricity costs
Horner, N., Azevedo, I., Sicker, D., & Agarwal, Y. (2016) · 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgridcomm.2016.7778742 · Cited by 7
Metadata
- Authors
- Liu, Z., Lin, M., Wierman, A., Low, S. H., & Andrew, L. L. H.
- Venue
- Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
- Publisher
- ACM
- Published
- 2011-06-07
- Pages
- 233-244
- OpenAlex
- W2168245849
- Cited by
- 467
- References
- 2
- FWCI
- 45.19
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Liu, Z., Lin, M., Wierman, A., Low, S. H., & Andrew, L. L. H. (2011). Greening geographical load balancing. Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems. https://doi.org/10.1145/1993744.1993767
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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.
