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 : https://apps.dtic.mil/dtic/tr/fulltext/u2/1035122.pdf


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