Abstract: A method and system for the integration of disparate data stored within an Information Technology infrastructure of a company is provided. The system and method enables holistic, real time control of data discovery, retrieval and analysis. The system combines data mining, retrieval and analytics at the source of the data, thereby solving traditional problems with disparate and distributed data, systems, business processes and analytics across an organization. The system enables a user to configure and target data, then apply rules, workflows and analytics from one central source. This process is accomplished by distributing functions in the form of software pneurons against the existing infrastructure for maximum processing while preserving a robust and extendable suite of definitions.

Abstract: A hardware and operating system independent platform and/or run time architecture that implements a configuration and algorithmic based application and process for enabling multiple virtual machines or internal networked physical servers (hosts) to be organized into groups or “realms” in real time and against specific configurable metrics. The configurable metrics include one or more of the following; load or processing capacity availability, cost of CPU processing, location based on risk, importance to business continuity priority requirements, disaster recovery strength and priority, geographic location of host aligned to IP, and any other client specific or custom requirements. A realm manager balances all of these configurable metrics and creates an algorithm to address allocation. The algorithm is fully elastic, allowing for automatic opening and closing of virtual machines to accommodate any internal or external changes.