High quality papers are solicited in all aspects of M&S, including (but not restricted to) the following areas:
- Advanced modeling techniques, including reuse of models, new modeling languages, agent-based M&S, and spatially explicit M&S.
- Algorithms and methods for parallel or distributed simulation, including synchronization, scheduling, memory management, load balancing, and scalability issues.
- New simulation algorithms and techniques including hybrid simulation approaches, adaptive algorithms, approximations, GPU, FPGA and hybrid architecture acceleration.
- Modeling and simulation for big data and big data analytics.
- Simulation infrastructure and security issues for large scale distributed and/or cloud-based modeling and simulation.
- Model and simulation persistence and recovery in the presence of hardware failures.
- Integration of simulation with other IT systems, methods, and developments including simulation based decision-making, visual analytics, intelligent support in M&S, and simulation in cloud computing environments.
- Mechanisms for efficient design of experiments, including dynamic verification and validation of models, and automatic simulation model generation and initialization.
- M&S applied to manage and/or optimize operational systems and methodological challenges arising from these applications including online simulation, symbiotic simulation, dynamic data-driven application systems, real-time and embedded simulation, and emulation of real systems.
- Tools and techniques for interoperability and composability of simulations including emerging standards and service-oriented approaches.
- Case studies considering the application of new or advanced computational methods to applications of contemporary interest.