Dynamic speed scaling minimizing expected energy consumption for real-time tasks-Reference-Cited by-同舟云学术

Dynamic speed scaling minimizing expected energy consumption for real-time tasks

Published:2020-07-02 Issue:5 Volume:23 Page:555-574
ISSN:1094-6136
Container-title:Journal of Scheduling
language:en
Short-container-title:J Sched

Author:

Gaujal Bruno,Girault Alain^ORCID,Plassart Stephan

Funder

PERSYVAL-Lab

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Management Science and Operations Research,General Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10951-020-00660-9.pdf

Reference25 articles.

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2. Bandari, M., Simon, R., & Aydin, H. (2014). Energy management of embedded wireless systems through voltage and modulation scaling under probabilistic workloads. In International green computing conference, IGCC’14 (pp. 1–10). Dallas, TX: IEEE Computer Society.

3. Bansal, N., Kimbrel, T., & Pruhs, K. (2007). Speed scaling to manage energy and temperature. Journal of the ACM, 54(1), 1–39.

4. Bastoni, A., Brandenburg, B., & Anderson, J. (2010). Cache-related preemption and migration delays: Empirical approximation and impact on schedulability. In Workshop on operating systems platforms for embedded real-time applications, OSPERT’10 (pp. 33–44).

5. Bertsekas, D., & Tsitsiklis, J. (1996). Neuro-dynamic programming. Belmont, MA: Athena Scientific.

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