The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Dynamic Right-Sizing for Power-Proportional Data Centers
Open accessAbstract
Power consumption imposes a significant cost for data centers implementing cloud services, yet much of that power is used to maintain excess service capacity during periods of low load. This paper investigates how much can be saved by dynamically “right-sizing” the data center by turning off servers during such periods and how to achieve that saving via an online algorithm. We propose a very general model and prove that the optimal offline algorithm for dynamic right-sizing has a simple structure when viewed in reverse time, and this structure is exploited to develop a new “lazy” online algorithm, which is proven to be 3-competitive. We validate the algorithm using traces from two real data-center workloads and show that significant cost savings are possible. Additionally, we contrast this new algorithm with the more traditional approach of receding horizon control.
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Cites
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
Karlin, A. R., Manasse, M. S., Rudolph, L., & Sleator, D. D. (1988) · Algorithmica · doi:10.1007/bf01762111 · Cited by 631 · cited 1×
“, to stop “renting” and to “buy”) is 2-competitive [38].”
Cited by
A Survey on Mobile Edge Computing: The Communication Perspective
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2745201 · Cited by 5,607
On Global Electricity Usage of Communication Technology: Trends to 2030
Andrae, A., & Edler, T. (2015) · Challenges · doi:10.3390/challe6010117 · Cited by 1,334
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
Resource Management in Clouds: Survey and Research Challenges
Jennings, B., & Stadler, R. (2015) · Journal of Network and Systems Management · doi:10.1007/s10922-014-9307-7 · Cited by 548
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
Self-citation
Metadata
- Authors
- Lin, M., Wierman, A., Andrew, & Thereska, E.
- Venue
- IEEE/ACM Transactions on Networking
- Published
- 2013-10
- Volume
- 21
- Issue
- 5
- Pages
- 1378-1391
- ISSN
- 1063-6692 (ISSN-L)
- 1558-2566
- OpenAlex
- W2120881346
- Cited by
- 446
- References
- 2
- FWCI
- 75.13
- Type
- journal article
- Language
- en
- Open access
- green
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- Lin, M., Wierman, A., Andrew, & Thereska, E. (2013). Dynamic Right-Sizing for Power-Proportional Data Centers. IEEE/ACM Transactions on Networking. https://doi.org/10.1109/tnet.2012.2226216
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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.
