There are many critical qualities that owners of a simulation environment must achieve: traceability from requirements to implementation (and the resultant data collected), integration of applications to the chosen middleware protocol, common data syntax, alignment of data semantics across applications, ease of maintenance, and change propagation throughout the architecture, among others. Executable Architecture Systems Engineering (EASE) is a research and development effort for systems engineering decomposition and traceability from functional requirements to technical implementation and provides a composable cloud computing implementation for automation of user-specified warfare modeling requirements. The effort includes tying functionality within distributed Modeling and Simulation (M&S) to scenarios for execution, code generation, execution automation and execution management, including providing data collection and After Action Review (AAR) artifacts back to the user. Current M&S event development, configuration, initialization, execution and monitoring are often conducted ad hoc and require costly resources that have limited reuse to address future complex questions. Building from already existing program information, EASE captures and links a system’s information into an innovative database structure that ensures accurate design and permits reuse while remaining adaptive. EASE enables accurate and rapid deployment and execution to support simulation events by abstracting and encapsulating functionality, then enforcing systems engineering best practices by linking data requirements to design and model selection. Where models are not available, surrogates can be generated based on business logic captured within the system design. The designated execution details are executed through a single interface to a set of managed computer assets based on a Platform as a Service approach to executing M&S systems on a virtualized infrastructure. This paper will discuss issues with interoperability and Systems of Systems implementation. We will provide an overview of our underpinning processes and describe the systems engineering linkage to execution of an exercise via automation.