Difficulties with true interoperability in modeling & simulation

Interoperability among distributed models and simulations is complex, tedious and difficult to evaluate. Integrating models that were developed for various purposes with disparate technologies and managed by independent organizations is often the goal. This goal is underestimated due to misleading facts of commonalities between those applications. Common compliance with middleware architectures, modeling goals and even object models gives a false impression of complete interoperability. There are numerous considerations when developing a distributed simulation environment. The event´s objectives drive the necessary simulation functions, but how those simulation functions interact needs to be meticulously designed for true interoperability. The semantics of the information transmitted, the behavior necessary across multiple applications, fidelity and resolution synchronization are only a subset of the systems engineering necessary for a coherent System of Systems. This paper covers interoperability complexities and proposes criteria to consider when developing, integrating and executing a distributed modeling and simulation architecture.