Dongsong Zhang
Ting Cao
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Abstract
As the energy consumption of multi-core systems becomes increasingly prominent, it's a challenge to design an energy-efficient real-time scheduling algorithm in multi-core systems for reducing the system energy consumption while guaranteeing the feasibility of real-time tasks. In this paper, we focus on multi-core processors, with the global Dynamic Voltage Frequency Scaling (DVFS) and Dynamic Power Management (DPM) technologies. In this setting, we propose an energy-efficient real-time scheduling algorithm, the Time Local remaining execution plane based Dynamic Voltage Frequency Scaling (TL-DVFS). TL-DVFS utilizes the concept of Time Local remaining execution (TL) plane to dynamically scale the voltage and frequency of a processor at the initial time of each TL plane as well as at the release time of a sporadic task in each TL plane. Consequently, TL-DVFS can obtain a reasonable tradeoff between the real-time constraint and the energy-saving while realizing the optimal feasibility of sporadic tasks. Mathematical analysis and extensive simulations demonstrate that TL-DVFS always saves more energy than existing algorithms, especially in the case of high workloads, and guarantees the optimal feasibility of sporadic tasks at the same time.
- ACPI 2011. ACPI. http://www.acpi.info.Google Scholar
- AlEnawy, T. and Aydin, H. 2005. Energy-aware task allocation for rate monotonic scheduling. In Proceedings of the IEEE Real Time and Embedded Technology and Applications Symposium (RTAS'05). IEEE, Los Alamitos, CA, 213--223. Google ScholarDigital Library
- Aydin, H. and Yang, Q. 2003. Energy-aware partitioning for multiprocessor real-time systems. In Proceedings of the 17th IEEE International Parallel and Distributed Processing Symposium. IEEE, Los Alamitos, CA, 22--26. Google ScholarDigital Library
- Baker, T. P. 2005. An analysis of EDF schedulability on a multiprocessor. IEEE Trans. Paral. Distrib. Syst. 16, 8, 760--768. Google ScholarDigital Library
- Bautista, D., Sahuquillo, J., Hassan, H., Petit, S., and Duato, J. 2008. A simple power-aware scheduling for multicore systems when running real-time applications. In Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS'08). IEEE, Los Alamitos, CA, 1--7.Google Scholar
- Bini, E. and Buttazzo, G. 2005. Measuring the performance of schedulability tests. Real-Time Syst. 30, 1-2, 129--154. Google ScholarDigital Library
- Chandrakasan, A., Sheng, S., and Brodenson, R. W. 1992. Low-power cmos digital design. IEEE J. Solid-State Circuit 27, 4, 473--484.Google ScholarCross Ref
- Chen, J., Hsu, H., and Kuo, T. 2006. Leakage-aware energy-efficient scheduling of real-time tasks in multiprocessor systems. In Proceedings of the IEEE Real-time and Embedded Technology and Applications Symposium. IEEE, Los Alamitos, CA, 408--417. Google ScholarDigital Library
- Cho, H., Ravindran, B., and Jensen, E. 2006. An optimal real-time scheduling algorithm for multiprocessors. In Proceedings of the 27th IEEE Real-Time System Symposium (RTSS'06). IEEE, Los Alamitos, CA, 101--110. Google ScholarDigital Library
- Davis, R. and Burns, A. 2009. Priority assignment for global fixed priority pre-emptive scheduling in multiprocessor real-time systems. In Proceedings of Real-Time Systems Symposium. IEEE, Los Alamitos, CA, 398--409. Google ScholarDigital Library
- Devadas, V. and Aydin, H. 2010. Coordinated power management of periodic real-time tasks on chip multiprocessors. In Proceedings of the International Conference on Green Computing (GREENCOMP'10). IEEE, Los Alamitos, CA, 61--72. Google ScholarDigital Library
- Dick, R., Rhodes, D., and Wolf, W. 1998. Tgff: Task graphs for free. In Proceedings of the IEEE International Workshop Hardware/Software Codesign. IEEE, Los Alamitos, CA, 97--101. Google ScholarDigital Library
- Dorsey, J. 2007. An integrated quad-core opteron processor. In Proceedings of the IEEE International Solid State Circuits Conference (ISSCC'07). IEEE, Los Alamitos, CA, 102--103.Google ScholarCross Ref
- Fisher, N., Goossens, J., and Baruah, S. 2010. Optimal online multiprocessor scheduling of sporadic real-time tasks is impossible. Real-Time Syst. 45, 1-2, 26--71. Google ScholarDigital Library
- Funaoka, K., Kato, S., and Yamasaki, N. 2008. Energy-efficient optimal real-time scheduling on multiprocessors. In Proceedings of the 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing (ISORC'08). IEEE, Los Alamitos, CA, 23--30. Google ScholarDigital Library
- Funk, S. and Nadadur, V. 2009. Lre-tl: An optimal multiprocessor algorithm for sporadic task sets. In Proceedings of the Symposium on Real-Time and Network Systems (RTNS'09). 159--168.Google Scholar
- Herbert, S. and Marculescu, D. 2007. Analysis of dynamic voltage/frequency scaling in chip-multiprocessors. In Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED). IEEE, Los Alamitos, CA, 38--43. Google ScholarDigital Library
- Holman, P. and Anderson, J. 2005. Adapting pfair scheduling for symmetric multiprocessors. J. Embed. Comput. 1, 4, 543--564. Google ScholarDigital Library
- Hua, S., Qu, G., and Bhattacharyya, S. 2006. Energy-efficient embedded software implementation on multiprocessor system-on-chip with multiple voltages. ACM Trans. Embed. Comput. Syst. 5, 2, 321--341. Google ScholarDigital Library
- Huang, X., Li, K., and Li, R. 2009. A energy efficient scheduling base on dynamic voltage and frequency scaling for multi-core embedded real-time system. In Proceedings of ICA3PP. Lecture Notes in Computer Science, vol. 5574, Springer, Gemany, 137--145. Google ScholarDigital Library
- Intel 2011. Intel i7 processor specifications. http://www.intel.com/products/processor/corei7/specifications. htm.Google Scholar
- Jejurikar, R., Pereira, C., and Gupta, R. 2004. Leakage aware dynamic voltage scaling for real-time embedded systems. In Proceedings of the Design Automation Conference. IEEE, Los Alamitos, CA, 275--280. Google ScholarDigital Library
- Kim, W., Gupta, M., Wei, G., and Brooks, D. 2008. System level analysis of fast, per-core dvfs using on-chip switching regulators. In Proceedings of the IEEE 14th International Symposium on High Performance Computer Architecture (HPCA'08). IEEE, Los Alamitos, CA, 123--134.Google Scholar
- Kumar, R. and Hinton, G. 2009. A family of 45nm ia processors. In Proceedings of the IEEE International Solid State Circuits Conference (ISSCC'09). IEEE, Los Alamitos, CA, 58--59.Google Scholar
- Lee, C. and Shin, K. 2004. On-line dynamic voltage scaling for hard real-time systems using the edf algorithm. In Proceedings of the 25th IEEE Real-Time Systems Symposium (RTSS'04). IEEE, Los Alamitos, CA, 319--335. Google ScholarDigital Library
- Martin, S., Flautner, K., Mudge, T., and Blaauw, D. 2002. Combined dynamic voltage scaling and adaptive body biasing for lower power microprocessors under dynamic workloads. In Proceedings of the Conference on Computer Aided Design. IEEE, Los Alamitos, CA, 721--725. Google ScholarDigital Library
- McCreary, H., Broyles, M., Floyd, M., et al. 2007. Energyscale for ibm power6 microprocessor based systems. IBM J. Res. Devel. 21, 6, 775--786. Google ScholarDigital Library
- McGowen, R., Poirier, C., Bostak, C., et al. 2006. Power and temperature control on a 90-nm itanium family processor. IEEE J. Solid-State Circ. 37, 8, 229--237.Google ScholarCross Ref
- Mosley, L. 2008. Power delivery challenges for multicore processors. In Proceedings of CARTS.Google Scholar
- Naveh, A. 2006. Power and thermal management in the intel core duo processor. Intel Techn. J. 10, 2.Google ScholarCross Ref
- Pillai, P. and Shin, K. 2001. Real-time dynamic voltage scaling for low-power embedded operating systems. In Proceedings of the 18th ACM Symposium on Operating Systems (SOSP'01). ACM, New York, NY, 89--102. Google ScholarDigital Library
- Qu, G. 2007. Power management of multicore multiple voltage embedded systems by task scheduling. In Proceedings of the IEEE International Conference on Parallel Processing Workshops (ICPPW'07). IEEE, Los Alamitos, CA. Google ScholarDigital Library
- Rele, S., Pande, S., Onder, S., et al. 2002. Optimizing static power dissipation by functional units in superscalar processors. In Lecture Notes in Computer Science, vol. 2304. Springer, 85--100. Google ScholarDigital Library
- Seo, E., Jeong, J., Park, S., and Lee, J. 2008. Energy efficient scheduling of real-time tasks on multicore processors. IEEE Trans. Parall. Distrib. Syst. 19, 11, 1540--1552. Google ScholarDigital Library
- Yang, C., Chen, J., and Kuo, T. 2005. An approximation algorithm for energy-efficient scheduling on a chip multiprocessor. In Proceedings of the ACM/IEEE Conference of Design, Automation, and Test in Europe (DATE'05). ACM/IEEE, 468--473. Google ScholarDigital Library
- Yang, C., Chen, J., Kuo, T., and Thiele, L. 2009. An approximation scheme for energy-efficient scheduling of real-time tasks in heterogeneous multiprocessor systems. In Proceedings of the ACM/IEEE Conference of Design, Automation, and Test in Europe (DATE). ACM/IEEE, 694--699. Google ScholarDigital Library
Index Terms
- TL-plane-based multi-core energy-efficient real-time scheduling algorithm for sporadic tasks
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