This comprehensive book examines a range of examples, prepared by a
diverse group of academic and industry practitioners, which demonstrate
how cloud-based simulation is being extensively used across many
disciplines, including cyber-physical systems engineering. This book is
a compendium of the state of the art in cloud-based simulation that
instructors can use to inform the next generation. It highlights the
underlying infrastructure, modeling paradigms, and simulation
methodologies that can be brought to bear to develop the next generation
of systems for a highly connected society. Such systems, aptly termed
cyber-physical systems (CPS), are now widely used in e.g. transportation
systems, smart grids, connected vehicles, industrial production systems,
healthcare, education, and defense.
Modeling and simulation (M&S), along with big data technologies, are at
the forefront of complex systems engineering research. The disciplines
of cloud-based simulation and CPS engineering are evolving at a rapid
pace, but are not optimally supporting each other's advancement. This
book brings together these two communities, which already serve
multi-disciplinary applications. It provides an overview of the
simulation technologies landscape, and of infrastructure pertaining to
the use of cloud-based environments for CPS engineering. It covers the
engineering, design, and application of cloud simulation technologies
and infrastructures applicable for CPS engineering. The contributions
share valuable lessons learned from developing real-time embedded and
robotic systems deployed through cloud-based infrastructures for
application in CPS engineering and IoT-enabled society. The coverage
incorporates cloud-based M&S as a medium for facilitating CPS
engineering and governance, and elaborates on available cloud-based M&S
technologies and their impacts on specific aspects of CPS engineering.
