By Okan Topçu
This targeted text/reference offers a complete evaluate of disbursed simulation (DS) from the viewpoint of version pushed Engineering (MDE), illustrating how MDE impacts the final lifecycle of the simulation improvement approach. various sensible case reviews are incorporated to illustrate the software and applicability of the method, a lot of that are built from instruments on hand to obtain from the general public domain.
Topics and features:
- Provides an intensive creation to the elemental ideas, rules and tactics of modeling and simulation, MDE and high-level architecture
- Describes a street map for construction a DS approach in line with the MDE viewpoint, and a technical framework for the improvement of conceptual models
- Presents a spotlight on federate (simulation setting) architectures, detailing a realistic method of the layout of federations (i.e., simulation member design)
- Reviews methods to simulation evolution and modernization, together with architecture-driven modernization for simulation modernization
- Examines the aptitude synergies among the agent, DS, and MDE methodologies, suggesting avenues for destiny study on the intersection of those 3 fields
Discusses the most actions relating to situation administration in DS, and explores the method of MDE-based implementation, integration and trying out
Distributed Simulation – A version pushed Engineering method is a vital source for all researchers and practitioners all in favour of modeling and simulation, and software program engineering, who could be attracted to adopting MDE rules while constructing complicated DS systems.
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Extra resources for Distributed Simulation: A Model Driven Engineering Approach
Models with continuous time and continuously changing state variables can be quite satisfactory from the modeler’s perspective, but from the simulation engineer’s perspective there is a problem: A continuous variable is impossible to realize as is on a digital computer due to the limited precision of floating point number representations. Fortunately, an extensive body of knowledge on numerical methods exist that allow the simulation engineers to solve approximately the models expressed as various kinds of differential equations up to desired accuracy, limited 14 1 Introduction by the precision of floating point number representation on the computer, by making the size of time steps sufficiently small.
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Proceedings of IEEE, 83(8), 1114–1123. OMG. (2012). 3. Object Management Group (OMG). OMG. (2015). 5. Object Management Group (OMG). RACoN. (2015). RACoN web site. com/site/okantopcu/ simge. Accessed 19 Dec 2015. , et al. (2005). The SIMSCRIPT III programming language for modular object-oriented simulation. In: M. E. Kuhl, N. M. Steiger, F. B. Armstrong, & J. A. ), Proceedings of the 2005 winter simulation conference. , pp. 621–630. Rozenberg, G. (1997). Handbook of graph grammars and computing by graph transformation, volume 1: Foundations.
Distributed Simulation: A Model Driven Engineering Approach by Okan Topçu