Author:
Wu Weiwei,Li Minming,Wang Kai,Huang He,Chen Enhong
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Management Science and Operations Research,General Engineering,Software
Reference20 articles.
1. Albers, S. (2010). Energy-efficient algorithms. Communications of the ACM, 53(5), 86–96.
2. Albers, S., & Antoniadis, A. (2014). Race to idle: New algorithms for speed scaling with a sleep state. ACM Transactions on Algorithms (TALG), 10(2), 9.
3. Albers, S., Antoniadis, A., & Greiner, G. (2015). On multi-processor speed scaling with migration. Journal of Computer and System Sciences, 81(7), 1194–1209.
4. Antoniadis, A., Huang, C. C., & Ott, S. (2015). A fully polynomial-time approximation scheme for speed scaling with sleep state. In Proceedings of the twenty-sixth annual ACM-SIAM symposium on discrete algorithms (pp. 1102–1113).
5. Aydin, H., Devadas, V., & Zhu, D. (2006). System-level energy management for periodic real-time tasks. In Proceedings of the 27th IEEE real-time systems symposium (pp. 313–322).
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