By Okan Topçu
ISBN-10: 3319030493
ISBN-13: 9783319030494
ISBN-10: 3319030507
ISBN-13: 9783319030500
This specified text/reference presents a complete evaluation of disbursed simulation (DS) from the viewpoint of version pushed Engineering (MDE), illustrating how MDE impacts the general lifecycle of the simulation improvement approach. quite a few sensible case stories are integrated to illustrate the software and applicability of the technique, lots of that are built from instruments on hand to obtain from the general public domain.
Topics and features:
- Provides an intensive advent to the basic innovations, rules and techniques of modeling and simulation, MDE and high-level architecture
- Describes a street map for development a DS method in response to the MDE viewpoint, and a technical framework for the improvement of conceptual models
- Presents a spotlight on federate (simulation atmosphere) architectures, detailing a realistic method of the layout of federations (i.e., simulation member design)
- Reviews techniques 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 examine on the intersection of those 3 fields
Discusses the most actions relating to state of affairs administration in DS, and explores the method of MDE-based implementation, integration and trying out
Distributed Simulation – A version pushed Engineering process is a crucial source for all researchers and practitioners considering modeling and simulation, and software program engineering, who might be attracted to adopting MDE ideas whilst constructing complicated DS systems.
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Additional info for Distributed Simulation: A Model Driven Engineering Approach
Example text
Graphics is a concrete syntax issue, which concerns human users, and becomes irrelevant as soon 8 1 Introduction as the specification text or the diagram is translated into an abstract syntax representation by the (front end of) language processor for further processing. In this book, we emphasize language-based aspects of modeling and simulation as they underlie the model-driven approach. The model and simulation are expressed in appropriate languages, possibly custom designed. Nevertheless, researchers in engineering and science fields build and experiment with physical models as well.
In: Hybrid systems (Lecture notes in computer science, Vol. 736). :Springer-Verlag, pp. 209–229. , Carson, J. , II, Nelson, B. , & Nicol, D. M. (2010). ). Upper Saddle River: Pearson Education. Boer, C. , & Verbraeck, A. (2009). A survey on distributed simulation in industry. Journal of Simulation, 3, 3–16. Bryant, B. , et al. (2011). Challenges and directions in formalizing the semantics of modeling languages. ComSIS, 8(2), 225–253. Cassandras, C. , & Lafortune, S. (2010). ). Boston: Springer.
The second, perhaps more fundamental, reason to go distributed is that the nature of our models is distributed. The simuland is readily decomposable by its nature; all we need to do is let the simulation system architecture follow the structure of the simuland. This is quite apparent in a gaming situation, such as a war game, where the players interact with models and other players in their own workstations, connected through a network. In general, human-in-the-loop simulations for the purpose of team training tend to be distributed.
Distributed Simulation: A Model Driven Engineering Approach by Okan Topçu
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