License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ISAAC.2022.28
URN: urn:nbn:de:0030-drops-173138
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/17313/
Go to the corresponding LIPIcs Volume Portal

Liang, Ya-Chun ; Iwama, Kazuo ; Liao, Chung-Shou

Improving the Bounds of the Online Dynamic Power Management Problem

pdf-format:
LIPIcs-ISAAC-2022-28.pdf (0.8 MB)

Abstract

We investigate the power-down mechanism which decides when a machine transitions between states such that the total energy consumption, characterized by execution cost, idle cost and switching cost, is minimized. In contrast to most of the previous studies on the offline model, we focus on the online model in which a sequence of jobs with their release time, execution time and deadline, arrive in an online fashion. More precisely, we exploit a different switching on and off strategy and present an upper bound of 3, and further show a lower bound of 2.1, in a dual-machine model, introduced by Chen et al. in 2014 [STACS 2014: 226-238], both of which beat the currently best result.

BibTeX - Entry

@InProceedings{liang_et_al:LIPIcs.ISAAC.2022.28,
  author =	{Liang, Ya-Chun and Iwama, Kazuo and Liao, Chung-Shou},
  title =	{{Improving the Bounds of the Online Dynamic Power Management Problem}},
  booktitle =	{33rd International Symposium on Algorithms and Computation (ISAAC 2022)},
  pages =	{28:1--28:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-258-7},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{248},
  editor =	{Bae, Sang Won and Park, Heejin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/17313},
  URN =		{urn:nbn:de:0030-drops-173138},
  doi =		{10.4230/LIPIcs.ISAAC.2022.28},
  annote =	{Keywords: Online algorithm, Energy scheduling, Dynamic power management}
}

Keywords: Online algorithm, Energy scheduling, Dynamic power management
Collection: 33rd International Symposium on Algorithms and Computation (ISAAC 2022)
Issue Date: 2022
Date of publication: 14.12.2022

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI