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DOI: 10.4230/DagSemProc.05031.20
URN: urn:nbn:de:0030-drops-695
URL: https://drops.dagstuhl.de/opus/volltexte/2005/69/
Sgall, Jiri
Online Scheduling
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Abstract
We survey some recent results on scheduling unit jobs. The emphasis of the talk is both on presenting some basic techniques and providing an overview of the current state of the art. The techniques presented cover charging schemes, potential function arguments, and lower bounds based on Yao's principle. The studied problem is equivalent to the following buffer management problem: packets with specified weights and deadlines arrive at a network switch and need to be forwarded so that the total weight of forwarded packets is maximized. A packet not forwarded before its deadline brings no profit. The presented algorithms improve upon 2-competitive greedy algorithm, the competitive ratio is 1.939 for deterministic and 1.582 for randomized algorithms.
BibTeX - Entry
@InProceedings{sgall:DagSemProc.05031.20,
author = {Sgall, Jiri},
title = {{Online Scheduling}},
booktitle = {Algorithms for Optimization with Incomplete Information},
pages = {1--3},
series = {Dagstuhl Seminar Proceedings (DagSemProc)},
ISSN = {1862-4405},
year = {2005},
volume = {5031},
editor = {Susanne Albers and Rolf H. M\"{o}hring and Georg Ch. Pflug and R\"{u}diger Schultz},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2005/69},
URN = {urn:nbn:de:0030-drops-695},
doi = {10.4230/DagSemProc.05031.20},
annote = {Keywords: online algorithms , scheduling}
}
| Keywords: | online algorithms , scheduling | |
| Seminar: | 05031 - Algorithms for Optimization with Incomplete Information | |
| Issue date: | 2005 | |
| Date of publication: | 30.05.2005 |
