License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.STACS.2014.63
URN: urn:nbn:de:0030-drops-44474
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2014/4447/
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Antoniadis, Antonios ; Barcelo, Neal ; Consuegra, Mario ; Kling, Peter ; Nugent, Michael ; Pruhs, Kirk ; Scquizzato, Michele

Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-off Schedules

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Abstract

We give a polynomial time algorithm to compute an optimal energy and fractional weighted flow trade-off schedule for a speed-scalable processor with discrete speeds. Our algorithm uses a geometric approach that is based on structural properties obtained from a primal-dual formulation of the problem.

BibTeX - Entry

@InProceedings{antoniadis_et_al:LIPIcs:2014:4447,
  author =	{Antonios Antoniadis and Neal Barcelo and Mario Consuegra and Peter Kling and Michael Nugent and Kirk Pruhs and Michele Scquizzato},
  title =	{{Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-off Schedules}},
  booktitle =	{31st International Symposium on Theoretical Aspects of Computer Science (STACS 2014)},
  pages =	{63--74},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-65-1},
  ISSN =	{1868-8969},
  year =	{2014},
  volume =	{25},
  editor =	{Ernst W. Mayr and Natacha Portier},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2014/4447},
  URN =		{urn:nbn:de:0030-drops-44474},
  doi =		{10.4230/LIPIcs.STACS.2014.63},
  annote =	{Keywords: scheduling, flow time, energy efficiency, speed scaling, primal-dual}
}

Keywords: scheduling, flow time, energy efficiency, speed scaling, primal-dual
Collection: 31st International Symposium on Theoretical Aspects of Computer Science (STACS 2014)
Issue Date: 2014
Date of publication: 05.03.2014

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