A tree ρ-spanner of a positively real-weighted n-vertex and m-edge undirected graph G is a spanning tree T of G which approximately preserves (i.e., up to a multiplicative stretch factor ρ) distances in G. Tree spanners with provably good stretch factors find applications in communication networks, distributed systems, and network design. However, finding an optimal or even a good tree spanner is a very hard computational task. Thus, if one has to face a transient edge failure in T, the overall effort that has to be afforded to rebuild a new tree spanner (i.e., computational costs, set-up of new links, updating of the routing tables, etc.) can be rather prohibitive. To circumvent this drawback, an effective alternative is that of associating with each tree edge a best possible (in terms of resulting stretch) swap edge -A well-established approach in the literature for several other tree topologies. Correspondingly, the problem of computing all the best swap edges of a tree spanner is a challenging algorithmic problem, since solving it efficiently means to exploit the structure of shortest paths not only in G, but also in all the scenarios in which an edge of T has failed. For this problem we provide a very efficient solution, running in O(n2log4n) time, which drastically improves (almost by a quadratic factor in n in dense graphs!) on the previous known best result.

Bilò, D., Colella, F., Gualà, L., Leucci, S., Proietti, G. (2017). An improved algorithm for computing all the best swap edges of a tree spanner. In Leibniz International Proceedings in Informatics, LIPIcs. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing [10.4230/LIPIcs.ISAAC.2017.14].

An improved algorithm for computing all the best swap edges of a tree spanner

Gualà, Luciano;
2017-01-01

Abstract

A tree ρ-spanner of a positively real-weighted n-vertex and m-edge undirected graph G is a spanning tree T of G which approximately preserves (i.e., up to a multiplicative stretch factor ρ) distances in G. Tree spanners with provably good stretch factors find applications in communication networks, distributed systems, and network design. However, finding an optimal or even a good tree spanner is a very hard computational task. Thus, if one has to face a transient edge failure in T, the overall effort that has to be afforded to rebuild a new tree spanner (i.e., computational costs, set-up of new links, updating of the routing tables, etc.) can be rather prohibitive. To circumvent this drawback, an effective alternative is that of associating with each tree edge a best possible (in terms of resulting stretch) swap edge -A well-established approach in the literature for several other tree topologies. Correspondingly, the problem of computing all the best swap edges of a tree spanner is a challenging algorithmic problem, since solving it efficiently means to exploit the structure of shortest paths not only in G, but also in all the scenarios in which an edge of T has failed. For this problem we provide a very efficient solution, running in O(n2log4n) time, which drastically improves (almost by a quadratic factor in n in dense graphs!) on the previous known best result.
28th International Symposium on Algorithms and Computation, ISAAC 2017
tha
2017
Rilevanza internazionale
contributo
dic-2017
2017
Settore INF/01 - INFORMATICA
English
Swap algorithm; Transient edge failure; Tree spanner; Software
http://drops.dagstuhl.de/opus/institut_lipics.php?fakultaet=04
Intervento a convegno
Bilò, D., Colella, F., Gualà, L., Leucci, S., Proietti, G. (2017). An improved algorithm for computing all the best swap edges of a tree spanner. In Leibniz International Proceedings in Informatics, LIPIcs. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing [10.4230/LIPIcs.ISAAC.2017.14].
Bilò, D; Colella, F; Gualà, L; Leucci, S; Proietti, G
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/194518
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact