Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)when quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ESA.2019.45
URN: urn:nbn:de:0030-drops-111660
URL: https://drops.dagstuhl.de/opus/volltexte/2019/11166/
Emek, Yuval ; Kutten, Shay ; Lavi, Ron ; Shi, Yangguang
Bayesian Generalized Network Design
| pdf-format: |
|
Abstract
We study network coordination problems, as captured by the setting of generalized network design (Emek et al., STOC 2018), in the face of uncertainty resulting from partial information that the network users hold regarding the actions of their peers. This uncertainty is formalized using Alon et al.'s Bayesian ignorance framework (TCS 2012). While the approach of Alon et al. is purely combinatorial, the current paper takes into account computational considerations: Our main technical contribution is the development of (strongly) polynomial time algorithms for local decision making in the face of Bayesian uncertainty.
BibTeX - Entry
@InProceedings{emek_et_al:LIPIcs:2019:11166,
author = {Yuval Emek and Shay Kutten and Ron Lavi and Yangguang Shi},
title = {{Bayesian Generalized Network Design}},
booktitle = {27th Annual European Symposium on Algorithms (ESA 2019)},
pages = {45:1--45:16},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-124-5},
ISSN = {1868-8969},
year = {2019},
volume = {144},
editor = {Michael A. Bender and Ola Svensson and Grzegorz Herman},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/11166},
URN = {urn:nbn:de:0030-drops-111660},
doi = {10.4230/LIPIcs.ESA.2019.45},
annote = {Keywords: approximation algorithms, Bayesian competitive ratio, Bayesian ignorance, generalized network design, diseconomies of scale, energy consumption, smoo}
}
| Keywords: | approximation algorithms, Bayesian competitive ratio, Bayesian ignorance, generalized network design, diseconomies of scale, energy consumption, smoo | |
| Seminar: | 27th Annual European Symposium on Algorithms (ESA 2019) | |
| Issue date: | 2019 | |
| Date of publication: | 06.09.2019 |
