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DOI: 10.4230/LIPIcs.STACS.2014.63
URN: urn:nbn:de:0030-drops-44474
URL: https://drops.dagstuhl.de/opus/volltexte/2014/4447/
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 | |
| Seminar: | 31st International Symposium on Theoretical Aspects of Computer Science (STACS 2014) | |
| Issue date: | 2014 | |
| Date of publication: | 05.03.2014 |
