Advertisement

An Enhanced Dynamic Voltage Scaling Scheme for Energy-Efficient Embedded Real-Time Control Systems

  • Feng Xia
  • Youxian Sun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3983)

Abstract

Real-Time Dynamic Voltage Scaling (RT-DVS) has been one of the most important techniques for energy savings in battery-powered embedded systems. However, pure RT-DVS approaches rarely take into account the actual performance requirements of the target applications. With the primary goal of further reducing energy consumption while satisfying Quality of Control (QoC) requirements in real-time control systems, an enhanced dynamic voltage scaling (EDVS) scheme is suggested. Following the direct feedback scheduling methodology, EDVS exploits a QoC-aware adaptive resource allocation mechanism. It enables flexible timing constraints on control tasks, which facilitates further energy saving over pure RT-DVS. Simulation experiments argue that EDVS is highly cost-effective and can save much more energy over the optimal pure RT-DVS scheme, while providing comparable QoC.

Keywords

Energy Saving Control Task Network Control System Direct Feedback Dynamic Voltage Scaling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Pillai, P., Shin, K.G.: Real-Time Dynamic Voltage Scaling for Low Power Embedded Operating Systems. In: Proc. 18th Symp. Operating System Principles, pp. 89–102 (2001)Google Scholar
  2. 2.
    Aydin, H., Melhem, R., Mosse, D., Mejia-Alvarez, P.: Power-Aware Scheduling for Periodic Real-Time Tasks. IEEE Trans. Computers 53(5), 584–600 (2004)CrossRefGoogle Scholar
  3. 3.
    Jha, N.K.: Low-power system scheduling, synthesis and displays. IEE Proc.-Comput. Digit. Tech. 152(3), 344–352 (2005)CrossRefMathSciNetGoogle Scholar
  4. 4.
    Xia, F., Dai, X., Wang, X., Sun, Y.: Feedback Scheduling of Real-Time Control Tasks in Power-Aware Embedded Systems. In: Proc. 2nd Int. Conf. on Embedded Software and Systems, Xi’an, China, pp. 513–518. IEEE CS Press, Los Alamitos (2005)Google Scholar
  5. 5.
    Martí, P., Fohler, G., Ramamritham, K., Fuertes, J.M.: Improving quality-of-control using flexible time constraints: Metric and scheduling issues. In: 23rd IEEE RTSS, Austin, TX, pp. 91–100 (2002)Google Scholar
  6. 6.
    Marti, P., Lin, C., Brandt, S., Velasco, M., Fuertes, J.M.: Optimal State Feedback Based Resource Allocation for Resource-Constrained Control Tasks. In: 25th IEEE RTSS, Lisbon, Portugal, pp. 161–172 (2004)Google Scholar
  7. 7.
    Velasco, M., Fuertes, J., Lin, C., Marti, P., Brandt, S.: A Control Approach to Bandwidth Management in Networked Control Systems. In: 30th IEEE IECON, Busan, Korea, pp. 2343–2348 (2004)Google Scholar
  8. 8.
    Årzén, K.-E., Cervin, A., Henriksson, D.: Resource-Constrained Embedded Control Systems: Possibilities and Research Issues. In: Co-design of Embedded Real-Time Systems Workshop, Porto, Portugal (2003)Google Scholar
  9. 9.
    Xia, F., Dai, X., Wang, Z., Sun, Y.: Feedback Based Network Scheduling of Networked Control Systems. In: Proc. 5th IEEE ICCA, Budapest, Hungary, pp. 1231–1236 (2005)Google Scholar
  10. 10.
    Xia, F., Dai, X., Sun, Y., Shou, J.: Control Oriented Direct Feedback Scheduling. International Journal of Information Technology (to appear)Google Scholar
  11. 11.
    Lee, H.S., Kim, B.K.: Dynamic Voltage Scaling for Digital Control System Implementation. Real-Time Systems 29, 263–280 (2005)MATHCrossRefGoogle Scholar
  12. 12.
    Sinha, A., Chandrakasan, A.P.: Energy efficient real-time scheduling. In: Proc. IEEE/ACM Int. Conf. Computer Aided Design, pp. 458–463 (2001)Google Scholar
  13. 13.
    Liu, C., Layland, J.: Scheduling Algorithms for Multiprogramming in a Hard Real-Time Environment. J. ACM 20, 46–61 (1973)MATHCrossRefMathSciNetGoogle Scholar
  14. 14.
    Åström, K.J., Wittenmark, B.: Computer-Controlled Systems. Prentice Hall, Englewood Cliffs (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Feng Xia
    • 1
  • Youxian Sun
    • 1
  1. 1.National Laboratory of Industrial Control TechnologyZhejiang UniversityHangzhouChina

Personalised recommendations