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p-YDS algorithm: an optimal extension of YDS algorithm to minimize expected energy for real-time jobs

Published: 12 October 2014 Publication History

Abstract

The YDS algorithm computes a schedule on a DVS-enabled resource to meet deadlines of all jobs and optimally minimize the total energy consumption. The algorithm requires that an exact execution time of each job be known. For settings where execution times are variable or uncertain, stochastic scheduling has been proposed to preferentially accelerate less probable phases of jobs to reduce the expected energy consumption. However, an analogue to the YDS algorithm for the stochastic setting has not been optimally solved. In this paper, we propose the p-YDS algorithm to minimize the expected energy consumption for a set of jobs with arbitrary arrival times, deadlines, and execution times. We then derive the competitive ratio of the YDS algorithm w.r.t. the p-YDS algorithm, for the metric of expected energy consumption. By comparing two optimal algorithms, this ratio specifies the worst-case energy cost of being agnostic to the variability in the execution time of jobs.

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P. Kumar and L. Thiele, "p-yds algorithm: An optimal extension of yds algorithm to minimize expected energy for real-time jobs," Tech. Rep. TIK No. 353, TIK, ETH Zurich, 2014. Available at ftp://ftp.tik.ee.ethz.ch/pub/publications/TIK-Report-353.pdf.

Cited By

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  • (2019)CoPPer: Soft Real-Time Application Performance Using Hardware Power Capping2019 IEEE International Conference on Autonomic Computing (ICAC)10.1109/ICAC.2019.00015(31-41)Online publication date: Jul-2019
  • (2018)An evolutionary system for ozone concentration forecastingInformation Systems Frontiers10.1007/s10796-016-9706-219:5(1123-1132)Online publication date: 24-Dec-2018
  • (2015)Distributed power management of real-time applications on a GALS multiprocessor SOCProceedings of the 12th International Conference on Embedded Software10.5555/2830865.2830882(147-156)Online publication date: 4-Oct-2015
  • Show More Cited By

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cover image ACM Conferences
EMSOFT '14: Proceedings of the 14th International Conference on Embedded Software
October 2014
301 pages
ISBN:9781450330527
DOI:10.1145/2656045
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 12 October 2014

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  • Research-article

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  • Nano-Tera.ch with Swiss Confederation financing

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ESWEEK'14
ESWEEK'14: TENTH EMBEDDED SYSTEM WEEK
October 12 - 17, 2014
New Delhi, India

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Overall Acceptance Rate 60 of 203 submissions, 30%

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Cited By

View all
  • (2019)CoPPer: Soft Real-Time Application Performance Using Hardware Power Capping2019 IEEE International Conference on Autonomic Computing (ICAC)10.1109/ICAC.2019.00015(31-41)Online publication date: Jul-2019
  • (2018)An evolutionary system for ozone concentration forecastingInformation Systems Frontiers10.1007/s10796-016-9706-219:5(1123-1132)Online publication date: 24-Dec-2018
  • (2015)Distributed power management of real-time applications on a GALS multiprocessor SOCProceedings of the 12th International Conference on Embedded Software10.5555/2830865.2830882(147-156)Online publication date: 4-Oct-2015
  • (2015)Distributed power management of real-time applications on a GALS multiprocessor SOC2015 International Conference on Embedded Software (EMSOFT)10.1109/EMSOFT.2015.7318270(147-156)Online publication date: Oct-2015

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