Approximation algorithms for energy-efficient scheduling of parallel jobs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Management Science and Operations Research,General Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10951-020-00653-8.pdf
Reference30 articles.
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2. Albers, S., Bampis, E., Letsios, D., Lucarelli, G., & Stotz, R. (2017). Scheduling on power-heterogeneous processors. Information and Computation, 257, 22–33.
3. Albers, S., Müller, F., & Schmelzer, S. (2014). Speed scaling on parallel processors. Algorithmica, 68(2), 404–425.
4. Angel, E., Bampis, E., Kacem, F., & Letsios, D. (2019). Speed scaling on parallel processors with migration. Journal of Combinatorial Optimization, 37(4), 1266–1282.
5. Antoniadis, A., & Huang, C. C. (2013). Non-preemptive speed scaling. Journal of Scheduling, 16(4), 385–394.
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