The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Improving dynamic voltage scaling algorithms with PACE
Abstract
This paper addresses algorithms for dynamically varying (scaling) CPU speed and voltage in order to save energy. Such scaling is useful and effective when it is immaterial when a task completes, as long as it meets some deadline. We show how to modify any scaling algorithm to keep performance the same but minimize expected energy consumption. We refer to our approach as PACE (Processor Acceleration to Conserve Energy) since the resulting schedule increases speed as the task progresses. Since PACE depends on the probability distribution of the task's work requirement, we present methods for estimating this distribution and evaluate these methods on a variety of real workloads. We also show how to approximate the optimal schedule with one that changes speed a limited number of times. Using PACE causes very little additional overhead, and yields substantial reductions in CPU energy consumption. Simulations using real workloads show it reduces the CPU energy consumption of previously published algorithms by up to 49.5%, with an average of 20.6%, without any effect on performance.
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Cited by
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
Dynamic and aggressive scheduling techniques for power-aware real-time systems
Aydin, H., Melhem, R., Mosse, D., & Mejia-Alvarez, P. (2005) · Proceedings 22nd IEEE Real-Time Systems Symposium (RTSS 2001) (Cat. No.01PR1420) · doi:10.1109/real.2001.990600 · Cited by 481
Power-rate-distortion analysis for wireless video communication under energy constraints
He, Z., Liang, Y., Chen, L., Ahmad, I., & Wu, D. (2005) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2005.846433 · Cited by 309
(2018) · doi:10.1109/tcc.2016.2535201 · Cited by 39
Metadata
- Authors
- Lorch, J. R., & Smith, A. J.
- Venue
- Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
- Publisher
- ACM
- Published
- 2001-06
- Pages
- 50-61
- OpenAlex
- W2108387401
- Cited by
- 386
- References
- 22
- FWCI
- 16.92
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Lorch, J. R., & Smith, A. J. (2001). Improving dynamic voltage scaling algorithms with PACE. Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems. https://doi.org/10.1145/378420.378429
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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