Data Model for Battle Force Interoperability Certification

Avineon proposes to develop a model for acquiring, organizing, storing, distributing, and analyzing the combat systems data resulting from interoperability tests, corrective actions, upgrades and modifications, during the D-30 process. The analyses will:(1) assist in the determination of readiness, (2) plan modifications and (3) assigning the plans priorities, based upon available budget and criticality. Avineon will develop the System architecture to implement this model. Object oriented analysis anddesign methods will be used, following the Rational Unified Process (RUP). Requirements, object models and their interactions will be described using UML and Rose visual models. The primary objective is to develop the architectural components of thesystem. As part of this process, hardware, network, and COTS product components will be evaluated and selected to develop a recommended architecture for a working system with the required functionality. Heterogeneous data sources have traditionally posedproblems for mission critical analysis of combat data, thereby reducing the effectiveness of collecting such data. Since data resides on several disparate systems, real time access to and aggregation of that data is difficult. Traditional Data warehousingsolutions are by nature static and inflexible. Avineon's proposed Dimensional Object Model is dynamic and flexible and can evolve with advances in processes, methods, and technology. With the recent advances in technologies such as secure P2P, commerciallyavailable publish and subscribe models as well as security advances make it possible to access, aggregate and analyze heterogeneous data repositories quickly and efficiently. Applying this technology to combat data will enable battle readiness assessmentin mission critical situations.Since the competitive environments in which most corporations operate also require prompt integration and analysis of data from multiple sources, the research proposed herein also has strong potential for successful commercial application.