Management of network design through molecular assembly

We have exploited some of the features of molecular assembly (MA) process combined with artificial intelligence (AI) to manage three network design problems occurring simultaneously, namely nodes clustering, network hierarchy and firewall placement. These exploitations have been transformed into a design tool to manage the attraction forces within all the node-pair of an enterprise network to amalgamate highly associated nodes into clusters, thereby alter the given single clustered network into a secured hierarchical network. The proposed design tool is comprised of two phases; discovery and assembly, where the discovery phase explores and analyzes the forces of attractions between nodes; moreover, the assembly phase ensures that the network is completely assembled and optimized. The simulation results illustrate the capability of the tool to assemble the 50-node enterprise network into 3-layered network in few minutes. Therefore, the tool manages to reduce the external traffic at the backbone by more than 40% in comparison with a non-molecular assembly algorithm, such as Genetic Algorithm (GA).