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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This unique text/reference provides a comprehensive review of distributed simulation (DS) from the perspective of Model Driven Engineering (MDE), illustrating how MDE affects the overall lifecycle of the simulation development process. Numerous practical case studies are included to demonstrate the utility and applicability of the methodology, many of which are developed from tools available to download from the public domain.
Topics and features:
Provides a thorough introduction to the fundamental
concepts, principles and processes of modeling and simulation, MDE and
high-level architecture Describes a road map for building a DS system in
accordance with the MDE perspective, and a technical framework for the
development of conceptual models Presents a focus on federate (simulation environment)
architectures, detailing a practical approach to the design of federations
(i.e., simulation member design)
Discusses the main activities related to scenario
management in DS, and explores the process of MDE-based implementation,
integration and testing
Reviews approaches to simulation evolution and
modernization, including architecture-driven modernization for simulation
modernization Examines the potential synergies between the agent, DS,
and MDE methodologies, suggesting avenues for future research at the
intersection of these three fields
Distributed Simulation - A Model Driven Engineering Approach is an important resource for all researchers and practitioners involved in modeling and simulation, and software engineering, who may be interested in adopting MDE principles when developing complex DS systems.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This unique text/reference provides a comprehensive review of distributed simulation (DS) from the perspective of Model Driven Engineering (MDE), illustrating how MDE affects the overall lifecycle of the simulation development process. Numerous practical case studies are included to demonstrate the utility and applicability of the methodology, many of which are developed from tools available to download from the public domain.
Topics and features:
Provides a thorough introduction to the fundamental
concepts, principles and processes of modeling and simulation, MDE and
high-level architecture Describes a road map for building a DS system in
accordance with the MDE perspective, and a technical framework for the
development of conceptual models Presents a focus on federate (simulation environment)
architectures, detailing a practical approach to the design of federations
(i.e., simulation member design)
Discusses the main activities related to scenario
management in DS, and explores the process of MDE-based implementation,
integration and testing
Reviews approaches to simulation evolution and
modernization, including architecture-driven modernization for simulation
modernization Examines the potential synergies between the agent, DS,
and MDE methodologies, suggesting avenues for future research at the
intersection of these three fields
Distributed Simulation - A Model Driven Engineering Approach is an important resource for all researchers and practitioners involved in modeling and simulation, and software engineering, who may be interested in adopting MDE principles when developing complex DS systems.