The parallel and distributed simulation field has evolved and grown from its origins in the
1970s and 1980s and remains an active field of research to this day. A brief overview of …

This work attempts to provide insight into the problem of executing discrete event simulation
in a distributed fashion. The article serves as the state of the art in Parallel Discrete-Event …

Recent advances in computing architectures and networking are bringing parallel
computing systems to the masses so increasing the number of potential users of these kinds …

In these days two main changes are revolutionizing the execution architectures used to run
simulations: on the bottom level the processors (CPU) are gaining more and more cores …

Originating in the 1970's, the parallel discrete event simulation (PDES) field grew from a
group of researchers focused on determining how to execute a discrete event simulation …

A maturing and promising technology, Cloud computing can benefit large‐scale simulations
by providing on‐demand, anywhere simulation services to users. In order to enable …

Cloud and Virtual Machine (VM) technologies present new challenges with respect to
performance and monetary cost in executing parallel discrete event simulation (PDES) …

A discrete-event simulator's ability to distribute the execution of a simulation model allows
one to deal with the memory limitations of a single computational resource, and thereby …

Distributed Simulation has still to be adopted significantly by the wider simulation
community. Reasons for this might be that distributed simulation applications are difficult to …

Manufacturing systems can be thought as production networks nodes whose relations have
a strong impact on design and analysis of each system. Commercial simulators are already …