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Documents authored by Consuegra, Mario E.

Found 2 Possible Name Variants:

Consuegra, Mario E.

Document
DOI: 10.4230/LIPIcs.FSTTCS.2013.389
Geometric Avatar Problems

Authors: Mario E. Consuegra and Giri Narasimhan

Published in: LIPIcs, Volume 24, IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2013)

Abstract
We introduce the concept of Avatar problems that deal with situations where each entity has multiple copies or "avatars" and the solutions are constrained to use exactly one of the avatars. The resulting set of problems show a surprising range of hardness characteristics and elicit a variety of algorithmic solutions. Many Multiple geometric avatar problems are considered. In particular, we show how to extend the concept of epsilon-kernels to find approximation algorithms for geometric avatar problems. Results for metric space graph avatar problems are also presented.
Cite as

Mario E. Consuegra and Giri Narasimhan. Geometric Avatar Problems. In IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2013). Leibniz International Proceedings in Informatics (LIPIcs), Volume 24, pp. 389-400, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@InProceedings{consuegra_et_al:LIPIcs.FSTTCS.2013.389,
  author =	{Consuegra, Mario E. and Narasimhan, Giri},
  title =	{{Geometric Avatar Problems}},
  booktitle =	{IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2013)},
  pages =	{389--400},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-64-4},
  ISSN =	{1868-8969},
  year =	{2013},
  volume =	{24},
  editor =	{Seth, Anil and Vishnoi, Nisheeth K.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2013.389},
  URN =		{urn:nbn:de:0030-drops-43889},
  doi =		{10.4230/LIPIcs.FSTTCS.2013.389},
  annote =	{Keywords: Avatar problems, choice}
}

Consuegra, Mario

Document
DOI: 10.4230/LIPIcs.STACS.2014.63
Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-off Schedules

Authors: Antonios Antoniadis, Neal Barcelo, Mario Consuegra, Peter Kling, Michael Nugent, Kirk Pruhs, and Michele Scquizzato

Published in: LIPIcs, Volume 25, 31st International Symposium on Theoretical Aspects of Computer Science (STACS 2014)

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.
Cite as

Antonios Antoniadis, Neal Barcelo, Mario Consuegra, Peter Kling, Michael Nugent, Kirk Pruhs, and Michele Scquizzato. Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-off Schedules. In 31st International Symposium on Theoretical Aspects of Computer Science (STACS 2014). Leibniz International Proceedings in Informatics (LIPIcs), Volume 25, pp. 63-74, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@InProceedings{antoniadis_et_al:LIPIcs.STACS.2014.63,
  author =	{Antoniadis, Antonios and Barcelo, Neal and Consuegra, Mario and Kling, Peter and Nugent, Michael and Pruhs, Kirk and Scquizzato, Michele},
  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 =	{Mayr, Ernst W. and Portier, Natacha},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2014.63},
  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}
}
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