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Improved Approximation Algorithms for Constrained Fault-Tolerant Resource Allocation

机译:改进的近似算法,用于约束容错资源分配

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In 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. Each site i can open at most R_i facilities with opening cost f_i. 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_∞) [10] and the classical Fault-Tolerant Facility Location (FTFL) [7] problems: for every site i, FTRA_∞ 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 LP-rounding algorithm achieving an approximation ratio of 4. Then we show the problem reduces to FTFL, implying the ratio of 1.7245 from [2]. For the uniform FTRA, we provide a 1.52-approximation primal-dual algorithm in O (n~4) time, where n is the total number of sites and clients.
机译:在受限制的容错资源分配(FTTRA)问题中,我们将一组包含该工具的网站作为资源和访问这些资源的一组客户端。每个网站我都可以在最多的R_I设施中开放,开头成本f_i。每个客户端J都需要将R_J开放式设施分配并将J连接到站点的任何设施我引发连接成本C_(IJ)。目标是最大限度地减少该资源分配方案的总成本。 ftra概括了无约束的容错资源分配(ftra_∞)[10]和经典容错设施位置(ftfl)[7]问题:对于每个站点,ftra_1没有约束r_i,而ftfl设置r_i = 1.如果所有R_J都相同,则均均均匀均匀,否则否则。对于一般的度量FTRA,我们首先得到LP-四舍五入算法实现为4的近似比然后,我们显示该问题简化为FTFL,从[2]的暗示1.7245的比率。对于统一的FTRA,我们在O(n〜4)时间内提供1.52近似的原始 - 双重算法,其中n是站点和客户端的总数。

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