A Model-driven Middleware Integration Approach for Performance-Sensitive Distributed Simulations

Complex simulation systems often comprise multiple distributed simulators that need to interoperate and synchronize states and events. In many cases, the simulation logics which are developed by different teams with specific expertise, need to be integrated to build a complete simulation system. Thus, supporting composability and reusability of simulation functionalities with minimal integration and performance overhead is a challenging but required capability. Middleware for game engines are promising to realize both the modular and reusable development criteria as well as the high performance requirements, while data-centric publish/subscribe middleware can support seamless integration and synchronization of the distributed artifacts. However, differences in the level of abstraction at which these middleware operate and the semantic differences in their underlying ontologies make it hard and challenging for simulation application developers and system integrators to realize a complete, operational system. To that end this paper presents a model-driven approach to blending the two middleware, wherein the modeling capabilities provide intuitive and higher-level abstractions for developers to reason about the composition and validation of the complete system, and the generative capabilities address the inherent and accidental complexities incurred in reconciling the semantic differences between the gaming and pub/sub middleware. We present a concrete implementation of our approach and illustrate its use and performance results using simple use cases.