Constrained Fault-Tolerant Resource Allocation
Kewen Liao, Hong Shen, Longkun Guo

TL;DR
This paper introduces approximation algorithms for the Constrained Fault-Tolerant Resource Allocation problem, improving solution quality and extending to related problems with constraints on total resources and facility openings.
Contribution
It presents LP-rounding and primal-dual algorithms with new approximation ratios for FTRA and its variants, including the first constant-factor approximation for k-FTRA.
Findings
LP-rounding algorithm achieves a 4-approximation for general metric FTRA.
Uniform FTRA admits a 1.52-approximation primal-dual algorithm.
Constant-factor approximation of 4 for uniform k-FTRA.
Abstract
In the Constrained Fault-Tolerant Resource Allocation (FTRA) problem, we are given a set of sites containing facilities as resources, and a set of clients accessing these resources. Specifically, each site i is allowed to open at most R_i facilities with cost f_i for each opened facility. Each client j requires an allocation of r_j open facilities and connecting j to any facility at site i incurs a connection cost c_ij. The goal is to minimize the total cost of this resource allocation scenario. FTRA generalizes the Unconstrained Fault-Tolerant Resource Allocation (FTRA_{\infty}) [18] and the classical Fault-Tolerant Facility Location (FTFL) [13] problems: for every site i, FTRA_{\infty} does not have the constraint R_i, whereas FTFL sets R_i=1. These problems are said to be uniform if all r_j's are the same, and general otherwise. For the general metric FTRA, we first give an…
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Taxonomy
TopicsFacility Location and Emergency Management · Optimization and Search Problems · Vehicle Routing Optimization Methods
