Rapid Scenario-Driven Integrated Simulation Experimentation Framework

Cyber-Physical Systems (CPS) are composed of a wide range of networked physical, computational, and human/organization components. These systems are highly complex as they have many different heterogeneous components, such as physical, computational, and human. Simulation-based evaluation of the behavior of CPS is complex, as it involves multiple, heterogeneous, interacting domains. Each simulation domain has sophisticated tools, but their integration into a coherent framework is a difficult, time-consuming, labor-intensive, and error-prone task. This means that it is difficult to conduct computational studies rapidly and provide timely answers to the planners, operators, and policy makers. Furthermore, CPS behavior has to be tested against a number of scenarios and situations, meaning that a large number of simulations must be executed covering the entire space of possibilities. This project leverages our Cyber-Physical Systems Wind Tunnel (CPSWT) framework -- that enables rapid, model-based integration of a variety of simulation tools -- to develop methods, tools, and approaches for creating a scenario-driven experimentation environment that can support rapid investigation of CPS using a large combination and variants of experiment scenarios. The objectives of this project are to develop: (1) Scenario-driven experimentation capability of the CPS simulation integration framework by supporting the modeling, parameterization, configuration, execution, and monitoring of integrated simulation experiments; and (2) Capability to enable instrumentation of experiment data-generation dynamically (i.e., at run-time) according to the requirements of scenarios designed to experiment with integrated simulations -- which will enable generation of pertinent datasets for conducting specific analyses as well as training Artificial Intelligence (AI) algorithms for detecting and analyzing rare events in the simulations.