Abstract: A method of integrating a computing system that includes: identifying component products for the computing system; identifying possible versions of each of the component products; prioritizing the possible versions for each of the component products so as to emphasize those versions that are most important to a user of the computing system; selecting one product as a primary product of the computing system with the remaining products being subsidiary products; forming a technology matrix of possible combinations of primary product, subsidiary products and possible versions of the subsidiary products; and selecting the combination of primary product, subsidiary product and subsidiary product version having the highest prioritization; wherein the method is implemented by a processor.

Abstract: A system and method for allocating computing resources among a plurality of units in a distributed network. A system is provided that includes: a relational fuzzy modeling system for providing a relational fuzzy model based on historical resource parameter data and historical system parameter data, and for predicting and allocating resource requirements for each unit based on the relational fuzzy model; a normalization system for ensuring that a sum of the predicted resource requirements is no more than a total available amount of actual resources available on the plurality of units; and an extra resource allocation system for allocating extra resources when the sum of the predicted resource requirements is less than the total available amount of resources available on the plurality of units.