Accession Number : AD1035122

Title :   Designing Networks that are Capable of Self-Healing and Adapting

Descriptive Note : Technical Report

Corporate Author : London Institute for Mathematical Sciences Mayfair United Kingdom

Personal Author(s) : Finks,Thomas ; Caldarelli,Guido ; Harer,John

Full Text :

Report Date : 01 Apr 2017

Pagination or Media Count : 10

Abstract : Using tools from statistical mechanics, combinatorics, boolean networks, and numerical simulations, and inspired by design principles from biological networks, we will undertake the following objectives: Quantify the effects of local damage and develop strategies for absorbing it, develop topological design principles for self-healing networks, and applications, and construct an all-possible-paths model for network adaptation.

Descriptors :   networks , topology , statistical mechanics , energy management , simulations

Subject Categories : Computer Systems

Distribution Statement : APPROVED FOR PUBLIC RELEASE