121 research outputs found

    Improved Purely Additive Fault-Tolerant Spanners

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    Let GG be an unweighted nn-node undirected graph. A \emph{β\beta-additive spanner} of GG is a spanning subgraph HH of GG such that distances in HH are stretched at most by an additive term β\beta w.r.t. the corresponding distances in GG. A natural research goal related with spanners is that of designing \emph{sparse} spanners with \emph{low} stretch. In this paper, we focus on \emph{fault-tolerant} additive spanners, namely additive spanners which are able to preserve their additive stretch even when one edge fails. We are able to improve all known such spanners, in terms of either sparsity or stretch. In particular, we consider the sparsest known spanners with stretch 66, 2828, and 3838, and reduce the stretch to 44, 1010, and 1414, respectively (while keeping the same sparsity). Our results are based on two different constructions. On one hand, we show how to augment (by adding a \emph{small} number of edges) a fault-tolerant additive \emph{sourcewise spanner} (that approximately preserves distances only from a given set of source nodes) into one such spanner that preserves all pairwise distances. On the other hand, we show how to augment some known fault-tolerant additive spanners, based on clustering techniques. This way we decrease the additive stretch without any asymptotic increase in their size. We also obtain improved fault-tolerant additive spanners for the case of one vertex failure, and for the case of ff edge failures.Comment: 17 pages, 4 figures, ESA 201

    Vertex Fault Tolerant Additive Spanners

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    A {\em fault-tolerant} structure for a network is required to continue functioning following the failure of some of the network's edges or vertices. In this paper, we address the problem of designing a {\em fault-tolerant} additive spanner, namely, a subgraph HH of the network GG such that subsequent to the failure of a single vertex, the surviving part of HH still contains an \emph{additive} spanner for (the surviving part of) GG, satisfying dist(s,t,H{v})dist(s,t,G{v})+βdist(s,t,H\setminus \{v\}) \leq dist(s,t,G\setminus \{v\})+\beta for every s,t,vVs,t,v \in V. Recently, the problem of constructing fault-tolerant additive spanners resilient to the failure of up to ff \emph{edges} has been considered by Braunschvig et. al. The problem of handling \emph{vertex} failures was left open therein. In this paper we develop new techniques for constructing additive FT-spanners overcoming the failure of a single vertex in the graph. Our first result is an FT-spanner with additive stretch 22 and O~(n5/3)\widetilde{O}(n^{5/3}) edges. Our second result is an FT-spanner with additive stretch 66 and O~(n3/2)\widetilde{O}(n^{3/2}) edges. The construction algorithm consists of two main components: (a) constructing an FT-clustering graph and (b) applying a modified path-buying procedure suitably adopted to failure prone settings. Finally, we also describe two constructions for {\em fault-tolerant multi-source additive spanners}, aiming to guarantee a bounded additive stretch following a vertex failure, for every pair of vertices in S×VS \times V for a given subset of sources SVS\subseteq V. The additive stretch bounds of our constructions are 4 and 8 (using a different number of edges)

    Fault-tolerant additive weighted geometric spanners

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    Let S be a set of n points and let w be a function that assigns non-negative weights to points in S. The additive weighted distance d_w(p, q) between two points p,q belonging to S is defined as w(p) + d(p, q) + w(q) if p \ne q and it is zero if p = q. Here, d(p, q) denotes the (geodesic) Euclidean distance between p and q. A graph G(S, E) is called a t-spanner for the additive weighted set S of points if for any two points p and q in S the distance between p and q in graph G is at most t.d_w(p, q) for a real number t > 1. Here, d_w(p,q) is the additive weighted distance between p and q. For some integer k \geq 1, a t-spanner G for the set S is a (k, t)-vertex fault-tolerant additive weighted spanner, denoted with (k, t)-VFTAWS, if for any set S' \subset S with cardinality at most k, the graph G \ S' is a t-spanner for the points in S \ S'. For any given real number \epsilon > 0, we obtain the following results: - When the points in S belong to Euclidean space R^d, an algorithm to compute a (k,(2 + \epsilon))-VFTAWS with O(kn) edges for the metric space (S, d_w). Here, for any two points p, q \in S, d(p, q) is the Euclidean distance between p and q in R^d. - When the points in S belong to a simple polygon P, for the metric space (S, d_w), one algorithm to compute a geodesic (k, (2 + \epsilon))-VFTAWS with O(\frac{k n}{\epsilon^{2}}\lg{n}) edges and another algorithm to compute a geodesic (k, (\sqrt{10} + \epsilon))-VFTAWS with O(kn(\lg{n})^2) edges. Here, for any two points p, q \in S, d(p, q) is the geodesic Euclidean distance along the shortest path between p and q in P. - When the points in SS lie on a terrain T, an algorithm to compute a geodesic (k, (2 + \epsilon))-VFTAWS with O(\frac{k n}{\epsilon^{2}}\lg{n}) edges.Comment: a few update

    Multiple-Edge-Fault-Tolerant Approximate Shortest-Path Trees

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    Let GG be an nn-node and mm-edge positively real-weighted undirected graph. For any given integer f1f \ge 1, we study the problem of designing a sparse \emph{f-edge-fault-tolerant} (ff-EFT) σ\sigma{\em -approximate single-source shortest-path tree} (σ\sigma-ASPT), namely a subgraph of GG having as few edges as possible and which, following the failure of a set FF of at most ff edges in GG, contains paths from a fixed source that are stretched at most by a factor of σ\sigma. To this respect, we provide an algorithm that efficiently computes an ff-EFT (2F+1)(2|F|+1)-ASPT of size O(fn)O(f n). Our structure improves on a previous related construction designed for \emph{unweighted} graphs, having the same size but guaranteeing a larger stretch factor of 3(f+1)3(f+1), plus an additive term of (f+1)logn(f+1) \log n. Then, we show how to convert our structure into an efficient ff-EFT \emph{single-source distance oracle} (SSDO), that can be built in O~(fm)\widetilde{O}(f m) time, has size O(fnlog2n)O(fn \log^2 n), and is able to report, after the failure of the edge set FF, in O(F2log2n)O(|F|^2 \log^2 n) time a (2F+1)(2|F|+1)-approximate distance from the source to any node, and a corresponding approximate path in the same amount of time plus the path's size. Such an oracle is obtained by handling another fundamental problem, namely that of updating a \emph{minimum spanning forest} (MSF) of GG after that a \emph{batch} of kk simultaneous edge modifications (i.e., edge insertions, deletions and weight changes) is performed. For this problem, we build in O(mlog3n)O(m \log^3 n) time a \emph{sensitivity} oracle of size O(mlog2n)O(m \log^2 n), that reports in O(k2log2n)O(k^2 \log^2 n) time the (at most 2k2k) edges either exiting from or entering into the MSF. [...]Comment: 16 pages, 4 figure

    Vertex Fault-Tolerant Emulators

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    A kk-spanner of a graph GG is a sparse subgraph that preserves its shortest path distances up to a multiplicative stretch factor of kk, and a kk-emulator is similar but not required to be a subgraph of GG. A classic theorem by Thorup and Zwick [JACM '05] shows that, despite the extra flexibility available to emulators, the size/stretch tradeoffs for spanners and emulators are equivalent. Our main result is that this equivalence in tradeoffs no longer holds in the commonly-studied setting of graphs with vertex failures. That is: we introduce a natural definition of vertex fault-tolerant emulators, and then we show a three-way tradeoff between size, stretch, and fault-tolerance for these emulators that polynomially surpasses the tradeoff known to be optimal for spanners. We complement our emulator upper bound with a lower bound construction that is essentially tight (within logn\log n factors of the upper bound) when the stretch is 2k12k-1 and kk is either a fixed odd integer or 22. We also show constructions of fault-tolerant emulators with additive error, demonstrating that these also enjoy significantly improved tradeoffs over those available for fault-tolerant additive spanners.Comment: To appear in ITCS 202

    Optimal Vertex Fault Tolerant Spanners (for fixed stretch)

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    A kk-spanner of a graph GG is a sparse subgraph HH whose shortest path distances match those of GG up to a multiplicative error kk. In this paper we study spanners that are resistant to faults. A subgraph HGH \subseteq G is an ff vertex fault tolerant (VFT) kk-spanner if HFH \setminus F is a kk-spanner of GFG \setminus F for any small set FF of ff vertices that might "fail." One of the main questions in the area is: what is the minimum size of an ff fault tolerant kk-spanner that holds for all nn node graphs (as a function of ff, kk and nn)? This question was first studied in the context of geometric graphs [Levcopoulos et al. STOC '98, Czumaj and Zhao SoCG '03] and has more recently been considered in general undirected graphs [Chechik et al. STOC '09, Dinitz and Krauthgamer PODC '11]. In this paper, we settle the question of the optimal size of a VFT spanner, in the setting where the stretch factor kk is fixed. Specifically, we prove that every (undirected, possibly weighted) nn-node graph GG has a (2k1)(2k-1)-spanner resilient to ff vertex faults with Ok(f11/kn1+1/k)O_k(f^{1 - 1/k} n^{1 + 1/k}) edges, and this is fully optimal (unless the famous Erdos Girth Conjecture is false). Our lower bound even generalizes to imply that no data structure capable of approximating distGF(s,t)dist_{G \setminus F}(s, t) similarly can beat the space usage of our spanner in the worst case. We also consider the edge fault tolerant (EFT) model, defined analogously with edge failures rather than vertex failures. We show that the same spanner upper bound applies in this setting. Our data structure lower bound extends to the case k=2k=2 (and hence we close the EFT problem for 33-approximations), but it falls to Ω(f1/21/(2k)n1+1/k)\Omega(f^{1/2 - 1/(2k)} \cdot n^{1 + 1/k}) for k3k \ge 3. We leave it as an open problem to close this gap.Comment: To appear in SODA 201
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