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Dynamic voltage scaling algorithm for fixed-priority real-time systems using work-demand analysis

Published: 25 August 2003 Publication History
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  • Abstract

    Dynamic Voltage Scaling (DVS), which adjusts the clock speed and supply voltage dynamically, is an effective technique in reducing the energy consumption of embedded real-time systems. Unlike dynamic-priority real-time scheduling for which highly effective DVS algorithms are available, existing fixed-priority DVS algorithms are less effective in energy efficiency because they are based on inefficient slack estimation methods. This paper describes an efficient on-line slack estimation heuristic for the rate-monotonic (RM) scheduling. The proposed heuristic estimates the slack times using the short term work-demand analysis. The DVS algorithm based on the proposed heuristic is also presented. Experimental results show that the proposed DVS algorithm reduces the energy consumption by 25 42% over the existing rate-monotonic DVS algorithms.

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    Cited By

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    • (2020)Reliability-aware fixed priority energy management with shared resources in real-time systemInternational Journal of Computer Applications in Technology10.1504/ijcat.2020.10658462:3(268-283)Online publication date: 1-Jan-2020
    • (2019)Energy-Efficient Intra-task DVFS Scheduling Using Linear Programming FormulationIEEE Access10.1109/ACCESS.2019.2902353(1-1)Online publication date: 2019
    • (2017)Hybrid DVFS Scheduling for Real-Time Systems Based on Reinforcement LearningIEEE Systems Journal10.1109/JSYST.2015.244620511:2(931-940)Online publication date: Jun-2017
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    1. Dynamic voltage scaling algorithm for fixed-priority real-time systems using work-demand analysis

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      cover image ACM Conferences
      ISLPED '03: Proceedings of the 2003 international symposium on Low power electronics and design
      August 2003
      502 pages
      ISBN:158113682X
      DOI:10.1145/871506
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      Publication History

      Published: 25 August 2003

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      Author Tags

      1. dynamic voltage scaling
      2. low-power systems
      3. real-time systems

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      ISLPED '03 Paper Acceptance Rate 90 of 221 submissions, 41%;
      Overall Acceptance Rate 398 of 1,159 submissions, 34%

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      Cited By

      View all
      • (2020)Reliability-aware fixed priority energy management with shared resources in real-time systemInternational Journal of Computer Applications in Technology10.1504/ijcat.2020.10658462:3(268-283)Online publication date: 1-Jan-2020
      • (2019)Energy-Efficient Intra-task DVFS Scheduling Using Linear Programming FormulationIEEE Access10.1109/ACCESS.2019.2902353(1-1)Online publication date: 2019
      • (2017)Hybrid DVFS Scheduling for Real-Time Systems Based on Reinforcement LearningIEEE Systems Journal10.1109/JSYST.2015.244620511:2(931-940)Online publication date: Jun-2017
      • (2017)Power-efficient real-time scheduling based on multi-granularity resource reservation for multimedia servicesIET Software10.1049/iet-sen.2015.010811:4(171-180)Online publication date: 1-Aug-2017
      • (2017)Reliability-aware low energy scheduling in real time systems with shared resourcesMicroprocessors & Microsystems10.1016/j.micpro.2017.06.02052:C(312-324)Online publication date: 1-Jul-2017
      • (2015)A Hybrid Energy-Aware Scheduling for Real-Time Task SynchronizationFuture Information Technology - II10.1007/978-94-017-9558-6_6(45-53)Online publication date: 30-Jan-2015
      • (2014)Optimal task allocation and scheduling for power saving in multiprocessor systems2014 POWER AND ENERGY SYSTEMS: TOWARDS SUSTAINABLE ENERGY10.1109/PESTSE.2014.6805324(1-5)Online publication date: Mar-2014
      • (2014)Learning Based Power Management for Periodic Real-Time TasksProceedings of the 2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS)10.1109/HPCC.2014.101(534-541)Online publication date: 20-Aug-2014
      • (2012)An energy-aware scheduling for real-time task synchronization using DVS and leakage-aware methodsACM SIGBED Review10.1145/2452537.24525409:4(21-24)Online publication date: 1-Nov-2012
      • (2012)Design of Energy-efficient Hierarchical Scheduling for Integrated Modular Avionics SystemsChinese Journal of Aeronautics10.1016/S1000-9361(11)60368-325:1(109-114)Online publication date: Feb-2012
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