Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Dynamic Repartitioning of Real-Time Schedule on a Multicore Processor for Energy Efficiency

  • Conference paper
Embedded and Ubiquitous Computing (EUC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 4096))

Included in the following conference series:

Abstract

Multicore processors promise higher throughput at lower power consumption than single core processors. Thus in the near future they will be widely used in hard real-time systems as the performance requirements are increasing. Though DVS may reduce power consumption for hard real time applications on single core processors, it introduces a new implication for multicore systems since all the cores in a chip should run at the same performance. Blind adoption of existing DVS algorithms may result in waste of energy since a core which requires low performance should run at the same high frequency with other cores. Based on the existing partitioning algorithms for the multiprocessor hard real-time scheduling, this article presents dynamic task repartitioning algorithm that balances task loads among cores to avoid the phenomena dynamically during execution. Simulation results show that in general cases our scheme makes additional energy saving more than 10% than that without our scheme even when the schedules are generated by WFD partitioning algorithm which is known as the best energy efficient partitioning algorithm.

This research was supported by the MIC(Ministry of Information and Communication), Korea, under the ITRC(Inofrmation Technology Research Center) support program supervised by the IITA(Institute of Information Technology Assessment) (IITA-2005-C1090-0502-0031).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Inc., A.M.D.: Multi-core processors - the next evolution in computing. White paper, Advanced Micro Devices, Inc. (2005)

    Google Scholar 

  2. Yang, C., Chen, J., Luo, T.: An approximation algorithm for energy-efficient scheduling on a chip multiprocessor. In: Proceedings of the Design, Automation and Test in Europe Conference and Exhibition, pp. 468–473 (2005)

    Google Scholar 

  3. Leung, J., Whitehead, J.: On the complexity of fixed-priority scheduling of periodic, real-time tasks. Performance Evaluation 2(4), 237–250 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  4. Aydin, H., Yang, Q.: Energy-aware partitioning for multiprocessor real-time systems. In: International Parallel and Distributed Processing Symposium, p. 113b (2003)

    Google Scholar 

  5. Lopez, J.M., Garcia, M., Diaz, J.L., Garcia, D.F.: Worst-case utilization bound for EDF scheduling on real-time multiprocessor systems. In: Proceedings of 12th Euromicro Conference on Real-Time Systems, pp. 25–33 (2000)

    Google Scholar 

  6. Lopez, J.M., Garcia, M., Diaz, J.L., Garcia, D.F.: Minimum and maximum utilization bounds for multiprocessor RM scheduling. In: Proceedings of 13th Euromicro Conference on Real-Time Systems, pp. 67–75 (2001)

    Google Scholar 

  7. Anderson, J.H., Baruah, S.K.: Energy-aware implementation of hard-real-time systems upon multiprocessor platforms. In: Proceedings of the 16th International Conference on Parallel and Distributed Computing Systems, pp. 430–435 (2003)

    Google Scholar 

  8. Aydin, H., Melhem, R., Mosse, D., Mejia-Avarez, P.: Power-aware scheduling for periodic real-time tasks. IEEE Transactions on Computers 53(5), 584–600 (2004)

    Article  Google Scholar 

  9. Gruian, F.: Hard real-time scheduling for low-energy using stochastic data and DVS processors. In: Proceedings of the 2001 international symposium on Low power electronics and design, pp. 46–51 (2001)

    Google Scholar 

  10. Pillai, P., Shin, K.G.: Real-time dynamic voltage scaling for low-power embedded operating systems. In: Proceedings of the 18th ACM Symposium on Operating Systems, pp. 89–102 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Seo, E., Koo, Y., Lee, J. (2006). Dynamic Repartitioning of Real-Time Schedule on a Multicore Processor for Energy Efficiency. In: Sha, E., Han, SK., Xu, CZ., Kim, MH., Yang, L.T., Xiao, B. (eds) Embedded and Ubiquitous Computing. EUC 2006. Lecture Notes in Computer Science, vol 4096. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11802167_9

Download citation

  • DOI: https://doi.org/10.1007/11802167_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36679-9

  • Online ISBN: 978-3-540-36681-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics