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A Hierarchical Distributed Control for Power and Performances Optimization of Embedded Systems

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Book cover Architecture of Computing Systems - ARCS 2010 (ARCS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5974))

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Abstract

Power and resource management are key goals for the success of modern battery-supplied multimedia devices. This kind of devices are usually based on SoCs with a wide range of subsystems, that compete in the usage of shared resources, and offer several power saving capabilities, but need an adequate software support to exploit such capabilities.

In this paper we present Constrained Power Management (CPM), a cross-layer formal model and framework for power and resource management, targeted to MPSoC-based devices. CPM allows coordination and communication, among applications and device drivers, to reduce energy consumption without compromising QoS. A dynamic and multi-objective optimization strategy is supported, which has been designed to have a negligible overhead on the development process and at run-time.

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References

  1. Keating, M., Flynn, D., Aitken, R., Gibbons, A., Shi, K.: Low Power Methodology Manual: For System-on-Chip Design. Springer Publishing Company, Incorporated, Heidelberg (2007)

    Google Scholar 

  2. Venkatachalam, V., Franz, M.: Power reduction techniques for microprocessor systems. ACM Comput. Surv. 37(3), 195–237 (2005)

    Article  Google Scholar 

  3. Pedram, M.: Power optimization and management in embedded systems. In: ASP-DAC 2001: Proceedings of the 2001 Asia and South Pacific Design Automation Conference, pp. 239–244. ACM, New York (2001)

    Chapter  Google Scholar 

  4. Lorch, J.R., Smith, A.J.: Operating system modifications for task-based speed and voltage. In: MobiSys 2003: Proceedings of the 1st international conference on Mobile systems, applications and services, pp. 215–229. ACM, New York (2003)

    Google Scholar 

  5. Pettis, N., Lu, Y.H.: A homogeneous architecture for power policy integration in operating systems. IEEE Transactions on Computers 58(7), 945–955 (2009)

    Article  Google Scholar 

  6. Zeng, H., Ellis, C.S., Lebeck, A.R., Vahdat, A.: Ecosystem: managing energy as a first class operating system resource. SIGPLAN Not. 37(10), 123–132 (2002)

    Article  Google Scholar 

  7. Anand, M., Nightingale, E.B., Flinn, J.: Ghosts in the machine: interfaces for better power management. In: MobiSys 2004: Proceedings of the 2nd international conference on Mobile systems, applications, and services, pp. 23–35. ACM, New York (2004)

    Chapter  Google Scholar 

  8. Tamai, M., Sun, T., Yasumoto, K., Shibata, N., Ito, M.: Energy-aware video streaming with qos control for portable computing devices. In: NOSSDAV 2004: Proceedings of the 14th international workshop on Network and operating systems support for digital audio and video, pp. 68–73. ACM, New York (2004)

    Chapter  Google Scholar 

  9. Flinn, J., Satyanarayanan, M.: Energy-aware adaptation for mobile applications. In: SOSP 1999: Proceedings of the seventeenth ACM symposium on Operating systems principles, pp. 48–63. ACM, New York (1999)

    Chapter  Google Scholar 

  10. Liu, X., Shenoy, P., Corner, M.D.: Chameleon: Application-level power management. IEEE Transactions on Mobile Computing 7(8), 995–1010 (2008)

    Article  Google Scholar 

  11. Yuan, W., Nahrstedt, K.: Energy-efficient soft real-time cpu scheduling for mobile multimedia systems. In: SOSP 2003: Proceedings of the nineteenth ACM symposium on Operating systems principles, pp. 149–163. ACM, New York (2003)

    Chapter  Google Scholar 

  12. Fei, Y., Zhong, L., Jha, N.K.: An energy-aware framework for dynamic software management in mobile computing systems. ACM Trans. Embed. Comput. Syst. 7(3), 1–31 (2008)

    Article  Google Scholar 

  13. Snowdon, D.C., Sueur, E.L., Petters, S.M., Heiser, G.: Koala: a platform for os-level power management. In: EuroSys 2009: Proceedings of the 4th ACM European conference on Computer systems, pp. 289–302. ACM, New York (2009)

    Chapter  Google Scholar 

  14. Brock, B., Rajamani, K.: Dynamic power management for embedded systems. In: Proceedings on IEEE International SoC Conference, September 2003, pp. 416–419 (2003)

    Google Scholar 

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Bellasi, P., Fornaciari, W., Siorpaes, D. (2010). A Hierarchical Distributed Control for Power and Performances Optimization of Embedded Systems. In: Müller-Schloer, C., Karl, W., Yehia, S. (eds) Architecture of Computing Systems - ARCS 2010. ARCS 2010. Lecture Notes in Computer Science, vol 5974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11950-7_5

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  • DOI: https://doi.org/10.1007/978-3-642-11950-7_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11949-1

  • Online ISBN: 978-3-642-11950-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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