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.