Title :
Predicting topology survivability using path diversity
Author :
Rohrer, Justin P. ; Sterbenz, James P G
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Kansas, Lawrence, KS, USA
Abstract :
In this paper we extend our path diversity metric to create a composite compensated total graph diversity metric that is representative of a particular topology´s survivability with respect to distributed simultaneous link and node failures. We tune the accuracy of this metric using 17 topologies, including 3 real fiber maps, 10 inferred logical maps, and 2 synthetic topologies having simulated their performance under a range of failure severities, and present the results. The topologies used are from national-scale backbone networks, with a variety of characteristics, which we characterize using standard graph-theoretic metrics. The end result is a compensated total graph diversity metric that accurately predicts the survivability of a given network topology.
Keywords :
graph theory; telecommunication network reliability; telecommunication network topology; distributed simultaneous link; inferred logical maps; national-scale backbone networks; node failures; path diversity; real fiber maps; standard graph-theoretic metrics; synthetic topologies; topology survivability; total graph diversity metric; Fault tolerance; Fault tolerant systems; Measurement; Network topology; Resilience; Robustness; Topology; measurement; path diversitiy; resilience; survivability; topology;
Conference_Titel :
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2011 3rd International Congress on
Conference_Location :
Budapest
Print_ISBN :
978-1-4577-0682-0