Universal alias and dependency models and network analysis

Abstract

Computer processor hardware receives data associated with a set of elements in a network. The computer processor hardware assigns a unique identifier value to each respective element in the network. To produce encoded information representative of the network, the computer processor hardware chooses an attribute list indicating different attributes pertinent to the set of elements. For each unique identifier value indicating a corresponding network element, the computer processor hardware utilizes the received data to produce a corresponding set of encoded information indicating settings for the attributes in the list. The computer processor hardware produces a set of encoded information for each of the unique identifier values (and corresponding network elements) into an analytics data set defining the network. The analytics data set indicates all relationships amongst the network elements allowing complete end-to-end network architectures to be evaluated or focus to be placed on specific sub-segments of the network in order to evaluate processes and function at a micro level. It also allows associating costs to delivery service levels, to timing of deployment, or any wide variety of analysis dependent on the combined operation of network components.