Abstract: Modeling a data path of a network environment is disclosed. Components are identified at a source location of a data path, at a target location of the data path, and connections there between. The network environment includes a plurality of domains, and the data path traverses the plurality of domains. Components and the connections there between are assigned to one of: an input-output path pattern, a virtualizer pattern, and a meta pattern. The patterns represent common elements of components of the network environment. The patterns and relationships between patterns are defined to repeat within and across domains in the network environment. A model of the data path is created from the assigned patterns and the defined relationships between patterns. The created model of the data path is then presented.

Abstract: A method, and computer program product for computing a change plan are presented. A model of a current configuration is identified, the model including modeled system assets and modeled tasks. A request to change the current configuration to a new configuration is received. The request to change the current configuration to generate a plurality of valid strategies to be used in a genetic programming parse tree corresponding to modeled assets and modeled tasks of said model is applied to the model. The request to change the current configuration is applied to at least one of said valid strategies to generate a plurality of potential change plans. The change plans are evolved according to genetic programming principles to a preferred change plan.

Abstract: A method, and computer program product for computing a change plan are presented. A model of a current configuration is identified, the model including modeled system assets and modeled tasks. A request to change the current configuration to a new configuration is received. The request to change the current configuration to generate a plurality of valid strategies to be used in a genetic programming parse tree corresponding to modeled assets and modeled tasks of said model is applied to the model. The request to change the current configuration is applied to at least one of said valid strategies to generate a plurality of potential change plans. The change plans are evolved according to genetic programming principles to a preferred change plan.