TY - GEN
T1 - The fault-tolerant facility allocation problem
AU - Xu, Shihong
AU - Shen, Hong
PY - 2009
Y1 - 2009
N2 - We study the problem of Fault-Tolerant Facility Allocation (FTFA) which is a relaxation of the classical Fault-Tolerant Facility Location (FTFL) problem [1]. Given a set of sites, a set of cities, and corresponding facility operating cost at each site as well as connection cost for each site-city pair, FTFA requires to allocate each site a proper number of facilities and further each city a prespecified number of facilities to access. The objective is to find such an allocation that minimizes the total combined cost for facility operating and service accessing. In comparison with the FTFL problem which restricts each site to at most one facility, the FTFA problem is less constrained and therefore incurs less cost which is desirable in application. In this paper, we consider the metric FTFA problem where the given connection costs satisfy triangle inequality and we present a polynomial-time algorithm with approximation factor 1.861 which is better than the best known approximation factor 2.076 for the metric FTFL problem [2].
AB - We study the problem of Fault-Tolerant Facility Allocation (FTFA) which is a relaxation of the classical Fault-Tolerant Facility Location (FTFL) problem [1]. Given a set of sites, a set of cities, and corresponding facility operating cost at each site as well as connection cost for each site-city pair, FTFA requires to allocate each site a proper number of facilities and further each city a prespecified number of facilities to access. The objective is to find such an allocation that minimizes the total combined cost for facility operating and service accessing. In comparison with the FTFL problem which restricts each site to at most one facility, the FTFA problem is less constrained and therefore incurs less cost which is desirable in application. In this paper, we consider the metric FTFA problem where the given connection costs satisfy triangle inequality and we present a polynomial-time algorithm with approximation factor 1.861 which is better than the best known approximation factor 2.076 for the metric FTFL problem [2].
UR - http://www.scopus.com/inward/record.url?scp=75649127295&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-10631-6_70
DO - 10.1007/978-3-642-10631-6_70
M3 - Conference contribution
AN - SCOPUS:75649127295
SN - 3642106307
SN - 9783642106309
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 689
EP - 698
BT - Algorithms and Computation - 20th International Symposium, ISAAC 2009, Proceedings
T2 - 20th International Symposium on Algorithms and Computation, ISAAC 2009
Y2 - 16 December 2009 through 18 December 2009
ER -