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GreenSlot: scheduling energy consumption in green datacenters
Abstract
In this paper, we propose GreenSlot, a parallel batch job scheduler for a datacenter powered by a photovoltaic solar array and the electrical grid (as a backup). GreenSlot predicts the amount of solar energy that will be available in the near future, and schedules the workload to maximize the green energy consumption while meeting the jobs' deadlines. If grid energy must be used to avoid deadline violations, the scheduler selects times when it is cheap. Our results for production scientific workloads demonstrate that Green-Slot can increase green energy consumption by up to 117% and decrease energy cost by up to 39%, compared to a conventional scheduler. Based on these positive results, we conclude that green datacenters and green-energy-aware scheduling can have a significant role in building a more sustainable IT ecosystem.
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Cited by
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing
Xu, J., Chen, L., & Ren, S. (2017) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2017.2725277 · Cited by 368
Carbon-aware computing for datacenters
Radovanović, A., Koningstein, R., Schneider, I., Chen, B., Duarte, A., Roy, B., Xiao, D., Haridasan, M., Hung, P., Care, N., et al. (2023) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2022.3173250 · Cited by 353
Energy efficiency and renewable energy integration in data centres. Strategies and modelling review
Oró, E., Depoorter, V., Garcia, A., & Salom, J. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.10.035 · Cited by 318
Energy and Carbon-Efficient Placement of Virtual Machines in Distributed Cloud Data Centers
Khosravi, A., Garg, S. K., & Buyya, R. (2013) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-40047-6_33 · Cited by 156
Kwon, S. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115424 · Cited by 103
Metadata
- Authors
- Goiri, Í., Le, K., Haque, M. E., Beauchea, R., Nguyen, T. D., Guitart, J., Torres, J., & Bianchini, R.
- Venue
- Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
- Publisher
- ACM
- Published
- 2011-11-12
- Pages
- 1-11
- OpenAlex
- W2055964748
- Cited by
- 309
- References
- 0
- FWCI
- 20.43
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Goiri, Í., Le, K., Haque, M. E., Beauchea, R., Nguyen, T. D., Guitart, J., Torres, J., & Bianchini, R. (2011). GreenSlot: scheduling energy consumption in green datacenters. Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis. https://doi.org/10.1145/2063384.2063411
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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.
