Voltage-scaling scheduling for periodic real-time tasks in reward maximization

Proceedings - Real-Time Systems Symposium

Volumn , Issue , 2005, Pages

  Chen, Jian Jia ^a   Kuo, Tei Wei ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Energy Efficient Scheduling; Periodic Real Time Tasks; Reward Maximization; Reward Based Scheduling

Indexed keywords

ENERGY CONSTRAINT; ENERGY-EFFICIENT SCHEDULING; FULLY POLYNOMIAL TIME APPROXIMATION SCHEMES; GREEDY ALGORITHMS; OPTIMAL SOLUTIONS; POLYNOMIAL TIME COMPLEXITY; REAL-TIME TASKS; REWARD MAXIMIZATIONS;

APPROXIMATION ALGORITHMS; OPTIMIZATION; REAL TIME SYSTEMS; SCHEDULING;

POLYNOMIALS;

EID: 84879367655     PISSN: 10528725     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RTSS.2005.44     Document Type: Conference Paper

References (35)

1. T. A. AlEnawy and H. Aydin. On energy-constrained real-time scheduling. In EuroMicro Conference on Real-Time Systems (ECRTS'04), pages 165-174, 2004.
2. H. Aydin, R. Melhem, D. Mosśe, and P. Mej́?a-Alvarez. Determining optimal processor speeds for periodic real-time tasks with different power characteristics. In Proceedings of the IEEE EuroMicro Conference on Real-Time Systems, page 225, 2001.
3. H. Aydin, R. Melhem, D. Mosśe, and P. Mej́?a-Alvarez. Dynamic and aggressive scheduling techniques for power-aware real-time systems. In Proceedings of the 22nd IEEE Real-Time Systems Symposium, pages 95-105, 2001.
4. N. Bansal, T. Kimbrel, and K. Pruhs. Dynamic speed scaling to manage energy and temperature. In Proceedings of the 2004 Symposium on Foundations of Computer Science, pages 520-529, 2004.
5. A. Chandrakasan, S. Sheng, and R. Broderson. Lower-power CMOS digital design. IEEE Journal of Solid-State Circuit, 27(4):473-484, 1992.
6. J.-J. Chen, T.-W. Kuo, and H.-I. Lu. Power-saving scheduling for weakly dynamic voltage scaling devices. In Workshop on Algorithms and Data Structures (WADS), pages 338-349, 2005.
7. J.-J. Chen, T.-W. Kuo, and C.-L. Yang. Profit-driven uniprocessor scheduling with energy and timing constraints. In ACM Symposium on Applied Computing, pages 834-840. ACM Press, 2004.
8. T. H. Cormem, C. E. Leiserson, and R. L. Rivest. Introduction to Algorithms. The MIT Press, 1990.
9. G. B. Dantzig and M. N. Thapa. Linear Programming 1: Introduction. Springer Verlag, 1997.
10. J. K. Dey, J. F. Kurose, and D. F. Towsley. On-line scheduling policies for a class of IRIS (increasing reward with increasing service) real-time tasks. IEEE Transactions on Computers, 45(7):802-813, 1996.
11. GNU Linear Programming Kit. http://www.gnu.org/software/glpk/glpk.html.
12. S. Irani, S. Shukla, and R. Gupta. Algorithms for power savings. In Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pages 37-46. Society for Industrial and Applied Mathematics, 2003.
13. T. Ishihara and H. Yasuura. Voltage scheduling problems for dynamically variable voltage processors. In Proceedings of the International Symposium on Low Power Electronics and Design, pages 197-202, 1998.
14. D.-I. Kang, S. P. Crago, and J. Suh. A fast resource synthesis technique for energy-efficient real-time systems. In Proceedings of the 23rd IEEE Real-Time Systems Symposium, pages 225-234, 2002.
15. W.-C. Kwon and T. Kim. Optimal voltage allocation techniques for dynamically variable voltage processors. In Proceedings of the 40th Design Automation Conference, pages 125-130, 2003.
16. C. Lee, J. P. Lehoczky, D. P. Siewiorek, R. Rajkumar, and J. P. Hansen. A scalable solution to the multi-resource QoS problem. In Proceedings of the 20th IEEE Real-Time Systems Symposium (RTSS'99), pages 315-326, 1999.
17. C. L. Liu and J. W. Layland. Scheduling algorithms for multiprogramming in a hard-real-time environment. Journal of the ACM, 20(1):46-61, 1973.
18. J. W. Liu. Real-Time Systems. Prentice Hall, Englewood, Cliffs, NJ., 2000.
19. J. W.-S. Liu, K.-J. Lin, W.-K. Shih, A. C.-S. Yu, C. Chung, J. Yao, and W. Zhao. Algorithms for scheduling imprecise computations. IEEE Computer, 24(5):58-68, May 1991.
20. P. Mej́?a-Alvarez, E. Levner, and D. Mosśe. Adaptive scheduling server for power-aware real-time tasks. ACM Transactions on Embedded Computing Systems, 3(2):284-306, 2004.
21. P. Pillai and K. G. Shin. Real-time dynamic voltage scaling for lowpower embedded operating systems. In Proceedings of the 18th ACM Symposium on Operating Systems Principles, pages 21-24, 2001.
22. G. Quan and X. Hu. Minimum energy fixed-priority scheduling for variable voltage processor. In Proceedings of the Design Automation and Test Europe Conference, pages 782-787, 2002.
23. J. M. Rabaey, A. Chandrakasan, and B. Nikolic. Digital Integrated Circuits. Prentice Hall, 2nd edition, 2002.
24. R. Rajkumar, C. Lee, J. P. Lehoczky, and D. P. Siewiorek. Practical solutions for QoS-based resource allocation problems. In Proceedings of the 19th IEEE Real-Time Systems Symposium (RTSS'98), pages 296-306, 1998.
25. C. Rusu, R. Melhem, and D. Mosse. Maximizing the system value while satisfying time and energy constraints. In IEEE 23th Real-Time System Symposium, pages 246-255, Dec. 2002.
26. C. Rusu, R. Melhem, and D. Mosśe. Multiversion scheduling in rechargeable energy-aware real-time systems. In EuroMicro Conference on Real-Time Systems (ECRTS'03), pages 95-104, 2003.
27. INTEL-XSCALE MICROARCHITECTURE. http://developer.intel.com/design/ intelxscale/benchmarks.htm.
28. W.-K. Shih, J. W.-S. Liu, and J.-Y. Chung. Algorithms for scheduling imprecise computations with timing constraints. SIAM J. Computing, 20(3):537-552, June 1991.
29. D. Shin, J. Kim, and S. Lee. Low-energy intra-task voltage scheduling using static timing analysis. In Proceedings of the 38th Conference on Design Automation, pages 438-443. ACM Press, 2001.
30. Y. Shin and K. Choi. Power conscious fixed priority scheduling for hard real-time systems. In Proceedings of the 36th ACM/IEEE Conference on Design Automation Conference, pages 134-139, 1999.
31. Y. Shin, K. Choi, and T. Sakurai. Power optimization of real-time embedded systems on variable speed processors. In Proceedings of the 2000 IEEE/ACM International Conference on Computer-Aided Design, pages 365-368. IEEE Press, 2000.
32. V. V. Vazirani. Approximation Algorithms. Springer, 2001.
33. F. Yao, A. Demers, and S. Shenker. A scheduling model for reduced CPU energy. In Proceedings of the 36th Annual Symposium on Foundations of Computer Science, pages 374-382. IEEE, 1995.
34. H.-S. Yun and J. Kim. On energy-optimal voltage scheduling for fixed-priority hard real-time systems. ACM Transactions on Embedded Computing Systems, 2(3):393-430, Aug. 2003.
35. H.-S. Yun and J. Kim. Reward-based voltage scheduling for hard real-time systems with energy constraints. In International Conference on Real-Time and Embedded Computing Systems and Applications (RTCSA), pages 416-435, 2004.