Abstract:We evaluate location-based methods for the auto-discovery of Shared Risk Link Groups (SRLGs), guided by the topology and design of AT&T's next generation transport network. Under realistic scenarios, we find the methods extremely effective in identifying SRLGs and associated link diversity relationships.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.