Chechik, Shiri ;
Peleg, David
Robust Fault Tolerant Uncapacitated Facility Location
Abstract
In the {\em uncapacitated facility location} problem, given a graph,
a set of demands and opening costs, it is required to find a set of facilities $R$, so as to minimize the sum of the cost of opening the facilities in $R$ and the cost of assigning all node demands to open facilities.
This paper concerns the {\em robust faulttolerant} version of the uncapacitated facility location problem (RFTFL). In this problem, one or more facilities might fail, and each demand should be supplied by the closest open facility that did not fail. It is required to find a set of facilities $R$, so as to minimize the sum of the cost of opening the facilities in $R$ and the cost of assigning all node demands to open facilities that did not fail, after the failure of up to $\alpha$ facilities.
We present a polynomial time algorithm that yields a 6.5approximation
for this problem with at most one failure and a $1.5 + 7.5\alpha$approximation for the problem with at most $\alpha > 1$ failures. We also show that the $RFTFL$ problem is NPhard even on trees, and even in the case of a single failure.
BibTeX  Entry
@InProceedings{chechik_et_al:LIPIcs:2010:2454,
author = {Shiri Chechik and David Peleg},
title = {{Robust Fault Tolerant Uncapacitated Facility Location}},
booktitle = {27th International Symposium on Theoretical Aspects of Computer Science},
pages = {191202},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {9783939897163},
ISSN = {18688969},
year = {2010},
volume = {5},
editor = {JeanYves Marion and Thomas Schwentick},
publisher = {Schloss DagstuhlLeibnizZentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2010/2454},
URN = {urn:nbn:de:0030drops24547},
doi = {10.4230/LIPIcs.STACS.2010.2454},
annote = {Keywords: Facility location, approximation algorithms, faulttolerance}
}
09.03.2010
Keywords: 

Facility location, approximation algorithms, faulttolerance 
Seminar: 

27th International Symposium on Theoretical Aspects of Computer Science

Issue date: 

2010 
Date of publication: 

09.03.2010 