Davide Bilò, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Simon Krogmann, Martin Schirneck
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引用次数: 0
Abstract
Given two vertex sets S and T in a graph, the ST-diameter is the maximum s-t-distance between vertices \(s \in S\) and \(t \in T\). We study the problem of estimating the ST-diameter of graphs that are subject to a small number of transient edge failures. An f-edge fault-tolerant ST-diameter oracle (f-FDO-ST) is a data structure that preprocesses a graph G, sets S, T, and a positive integer f. When queried with a set F of at most f failing edges, the oracle returns an estimate \(\widehat{D}\) of the ST-diameter in \(G\,{-}\,F\). The oracle is said to have stretch \(\sigma \geqslant 1\) if \({{\,\textrm{diam}\,}}(G{-}F,S,T) \leqslant \widehat{D} \leqslant \sigma \cdot {{\,\textrm{diam}\,}}(G{-}F,S,T)\). We design new f-FDO-STs by reducing their construction to that of all-pairs and single-source distance sensitivity oracles (f-DSOs). These are data structures that estimate the pairwise graph distances, or respectively the distances from a distinguished source, under up to f failures. We obtain several new trade-offs between the size of the ST-diameter oracles, their stretch guarantees, query and preprocessing times by combining our black-box reductions with f-DSO results from the literature. We further provide a lower bound on the space requirement of approximate ST-diameter oracles. We prove that there exists a family of graphs for which any f-FDO-ST with sensitivity \(f \geqslant 2\) and stretch better than 5/3 requires \(\Omega (n^{3/2})\) bits of space, regardless of the query time.
期刊介绍:
Algorithmica is an international journal which publishes theoretical papers on algorithms that address problems arising in practical areas, and experimental papers of general appeal for practical importance or techniques. The development of algorithms is an integral part of computer science. The increasing complexity and scope of computer applications makes the design of efficient algorithms essential.
Algorithmica covers algorithms in applied areas such as: VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools, as well as algorithms in fundamental areas such as sorting, searching, data structures, computational geometry, and linear programming.
In addition, the journal features two special sections: Application Experience, presenting findings obtained from applications of theoretical results to practical situations, and Problems, offering short papers presenting problems on selected topics of computer science.