Self-spanner graphs Original Research Article

We introduce the image-self-spanners graphs to model non-reliable interconnection networks. Such networks can be informally characterized as follows: if at most image edges have failed, as long as two vertices remain connected, the distance between these vertices in the faulty graph is at most k times the distance in the non-faulty graph. By fixing the values k and image (called stretch factor and fault-tolerance, respectively), we obtain specific new graph classes. We first provide characterizational, structural, and computational results for these classes. Then, we study relationships between the introduced classes and special graphs classes (distance-hereditary graphs, cographs, and chordal graphs), and common network topologies (grids, tori, hypercubes, butterflies, and cube-connected cycles) as well.