Elastic Scheduling for Parallel Real-Time Systems
Document Open Access Logo

Elastic Scheduling for Parallel Real-Time Systems

Authors James Orr , Chris Gill , Kunal Agrawal , Jing Li , Sanjoy Baruah

PDF
Thumbnail PDF

File

LITES-v006-i001-a005.pdf
  • Filesize: 0.54 MB
  • 14 pages

Document Identifiers

Author Details

James Orr
  • {Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO 63130, USA
Chris Gill
  • Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO 63130, USA
Kunal Agrawal
  • Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO 63130, USA
Jing Li
  • New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA
Sanjoy Baruah
  • Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO 63130, USA

Cite As Get BibTex

James Orr, Chris Gill, Kunal Agrawal, Jing Li, and Sanjoy Baruah. Elastic Scheduling for Parallel Real-Time Systems. In LITES, Volume 6, Issue 1 (2019). Leibniz Transactions on Embedded Systems, Volume 6, Issue 1, pp. 05:1-05:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LITES-v006-i001-a005

Abstract

The elastic task model was introduced by Buttazzo et al.~in order to represent recurrent real-time workloads executing upon uniprocessor platforms that are somewhat flexible with regards to timing constraints.  In this work, we propose an extension of this model and apply it to represent recurrent real-time workloads that exhibit internal parallelism and are executed on multiprocessor platforms. In our proposed extension, the elasticity coefficient - the quantitative measure of a task's elasticity that was introduced in the model proposed by Buttazzo et al. - is interpreted in the same manner as in the original (sequential) model. Hence, system developers who are familiar with the elastic task model in the uniprocessor context may use our more general model as they had previously done, now for real-time tasks whose computational demands require them to utilize more than one processor.

Subject Classification

ACM Subject Classification
  • Software and its engineering → Real-time schedulability
  • Computer systems organization → Real-time system architecture
  • Computer systems organization → Real-time system specification
  • Computer systems organization → Embedded software
Keywords
  • Parallel real-time tasks
  • multiprocessor federated scheduling
  • elasticity coefficient

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
    0
    Metadata Views

References

  1. P. Antsaklis and J. Baillieul.Guest Editorial Special Issue on Networked Control Systems. IEEE Transactions on Automatic Control, 49(9):1421-1423, September 2004. URL: http://dx.doi.org/10.1109/TAC.2004.835210
  2. Sanjoy Baruah, Vincenzo Bonifaci, Alberto Marchetti-Spaccamela, Leem Stougie, and Andreas Wiese.A generalized parallel task model for recurrent real-time processes. In Proceedings of the IEEE Real-Time Systems Symposium, RTSS 2012, pages 63-72, San Juan, Puerto Rico, 2012. Google Scholar
  3. Giorgio Buttazzo, Enrico Bini, and Darren Buttle.Rate-Adaptive Tasks: Model, Analysis, and Design Issuess. In Proceedings of DATE 2014: Design, Automation and Test in Europe, March 2014. Google Scholar
  4. Giorgio C. Buttazzo, Giuseppe Lipari, and Luca Abeni.Elastic Task Model for Adaptive Rate Control. In 1998 IEEE Real-Time Systems Symposium (RTSS), 1998. Google Scholar
  5. Giorgio C. Buttazzo, Giuseppe Lipari, Marco Caccamo, and Luca Abeni.Elastic Scheduling for Flexible Workload Management. IEEE Trans. Comput., 51(3):289-302, March 2002. URL: http://dx.doi.org/10.1109/12.990127
  6. M. Caccamo, G. Buttazzo, and Lui Sha.Elastic feedback control. In Proceedings 12th Euromicro Conference on Real-Time Systems. Euromicro RTS 2000, pages 121-128, 2000. URL: http://dx.doi.org/10.1109/EMRTS.2000.853999
  7. T. Chantem, X. S. Hu, and M. D. Lemmon.Generalized Elastic Scheduling. In 2006 27th IEEE International Real-Time Systems Symposium (RTSS'06), pages 236-245, 2006. Google Scholar
  8. T. Chantem, X. S. Hu, and M. D. Lemmon.Generalized Elastic Scheduling for Real-Time Tasks. IEEE Transactions on Computers, 58(4):480-495, April 2009. URL: http://dx.doi.org/10.1109/TC.2008.175
  9. D. Ferry, G. Bunting, A. Maqhareh, A. Prakash, S. Dyke, K. Aqrawal, C. Gill, and C. Lu.Real-time system support for hybrid structural simulation. In 2014 International Conference on Embedded Software (EMSOFT), pages 1-10, October 2014. URL: http://dx.doi.org/10.1145/2656045.2656067
  10. David Ferry, Jing Li, Mahesh Mahadevan, Kunal Agrawal, Christopher Gill, and Chenyang Lu.A Real-time Scheduling Service for Parallel Tasks. In Proceedings of the 2013 IEEE 19th Real-Time and Embedded Technology and Applications Symposium (RTAS), RTAS '13, pages 261-272, Washington, DC, USA, 2013. IEEE Computer Society. URL: http://dx.doi.org/10.1109/RTAS.2013.6531098
  11. David Ferry, Amin Maghareh, Gregory Bunting, Arun Prakash, Kunal Agrawal, Chris Gill, Chenyang Lu, and Shirley Dyke.On the performance of a highly parallelizable concurrency platform for real-time hybrid simulation. In The Sixth World Conference on Structural Control and Monitoring, 2014. Google Scholar
  12. R. Graham.Bounds on multiprocessor timing anomalies.SIAM Journal on Applied Mathematics, 17:416-429, 1969. Google Scholar
  13. J. Kim, H. Kim, K. Lakshmanan, and R. Rajkumar.Parallel scheduling for cyber-physical systems: Analysis and case study on a self-driving car. In 2013 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), pages 31-40, April 2013. Google Scholar
  14. Jing Li, Abusayeed Saifullah, Kunal Agrawal, Christopher Gill, and Chenyang Lu.Analysis Of Federated And Global Scheduling For Parallel Real-Time Tasks. In Proceedings of the 2012 26th Euromicro Conference on Real-Time Systems, ECRTS '14, Madrid (Spain), 2014. IEEE Computer Society Press. Google Scholar
  15. C. Liu and J. Layland.Scheduling Algorithms for Multiprogramming in a Hard Real-Time Environment. Journal of the ACM, 20(1):46-61, 1973. Google Scholar
  16. J. Ullman.NP-complete scheduling problems. Journal of Computer and System Sciences, 10(3):384-393, 1975. Google Scholar
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact