Greedy Minimum-Energy Scheduling
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49815-2_5
Reference7 articles.
1. Antoniadis, A., Garg, N., Kumar, G., Kumar, N.: Parallel machine scheduling to minimize energy consumption. In: Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2020, pp. 2758–2769. Society for Industrial and Applied Mathematics, USA (2020)
2. Antoniadis, A., Kumar, G., Kumar, N.: Skeletons and minimum energy scheduling. In: Ahn, H.K., Sadakane, K. (eds.) 32nd International Symposium on Algorithms and Computation (ISAAC 2021). Leibniz International Proceedings in Informatics (LIPIcs), vol. 212, pp. 51:1–51:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Dagstuhl, Germany (2021). https://doi.org/10.4230/LIPIcs.ISAAC.2021.51. https://drops.dagstuhl.de/opus/volltexte/2021/15484
3. Baptiste, P.: Scheduling unit tasks to minimize the number of idle periods: a polynomial time algorithm for offline dynamic power management. In: Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithm, SODA 2006, pp. 364–367. Society for Industrial and Applied Mathematics, USA (2006)
4. Lecture Notes in Computer Science;P Baptiste,2007
5. Demaine, E.D., Ghodsi, M., Hajiaghayi, M.T., Sayedi-Roshkhar, A.S., Zadimoghaddam, M.: Scheduling to minimize gaps and power consumption. In: Proceedings of the Nineteenth Annual ACM Symposium on Parallel Algorithms and Architectures, SPAA 2007, pp. 46–54. Association for Computing Machinery, New York (2007). https://doi.org/10.1145/1248377.1248385
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