Thirteenth Workshop On Parallel And Distributed Simulation
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Thirteenth Workshop on Parallel and Distributed Simulation
Author: Richard M. Fujimoto
language: en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date: 1999
Proceedings of a May 1999 workshop, with papers on conservative simulation techniques, scheduling and synchronization, future directions, defense simulation and DIS, optimistic simulation techniques, performance prediction and analysis, and simulation and computer networks. Topics include efficient parallel simulation using reverse computation, performance prediction tools for parallel discrete-event simulation, Time Warp simulation on clumps, and active network management protocol. No index. Annotation copyrighted by Book News, Inc., Portland, OR.
Automatic Algorithm Selection for Complex Simulation Problems
Author: Roland Ewald
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-11-20
To select the most suitable simulation algorithm for a given task is often difficult. This is due to intricate interactions between model features, implementation details, and runtime environment, which may strongly affect the overall performance. An automated selection of simulation algorithms supports users in setting up simulation experiments without demanding expert knowledge on simulation. Roland Ewald analyzes and discusses existing approaches to solve the algorithm selection problem in the context of simulation. He introduces a framework for automatic simulation algorithm selection and describes its integration into the open-source modelling and simulation framework James II. Its selection mechanisms are able to cope with three situations: no prior knowledge is available, the impact of problem features on simulator performance is unknown, and a relationship between problem features and algorithm performance can be established empirically. The author concludes with an experimental evaluation of the developed methods.
Simulation for Cyber-Physical Systems Engineering
Author: José L. Risco Martín
language: en
Publisher: Springer Nature
Release Date: 2020-11-07
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.