Modeling and simulation techniques are today extensively used both in industry and
science. Parts of larger systems are, however, typically modeled and simulated by different …

It is essential to find new ways of enabling experts in different disciplines to collaborate more
efficient in the development of ever more complex systems, under increasing market …

Abstract In Operational Research conventional simulation practices typically focus on the
conceptualization, development and use of a single model simulated on a single computer …

DEVS is a popular formalism for modeling complex dynamic systems using a discrete-event
abstraction. Owing to its popularity, and the simplicity of the simulation kernel, a number of …

Simulators are crucial components in many software-intensive systems, such as cyber-
physical systems and digital twins. The inherent complexity of such systems renders the …

Discrete Event System Specification (DEVS) is a popular formalism for modeling complex
dynamic systems using a discrete-event abstraction. At this abstraction level, a timed …

We present an overview of PythonPDEVS, a family of DEVS simulation kernels. While a
plethora of DEVS simulation kernels exist nowadays, we believe that there is a gap between …

Cloud infrastructure provides rapid resource provision for on-demand computational
requirements. Cloud simulation environments today are largely employed to model and …

This paper presents a new Cloud-deployable DEVS-based framework for optimising UAV
trajectories and sensor strategies in target-search missions. DEVS provides it with a well …

DEVS is a popular formalism for modelling complex dynamic systems using a discrete-event
abstraction. At this abstraction level, a timed sequence of pertinent “events” input to a system …