Guide To Modeling And Simulation Of Systems Of Systems (simulation Foundations, Methods And Applications)
by Bernard P. Zeigler /
2017 / English / PDF
11.1 MB Download
This easy-to-follow textbook provides an exercise-driven guide to
the use of the Discrete Event Systems Specification (DEVS)
simulation modeling formalism and the System Entity Structure
(SES) simulation model ontology supported with the latest
advances in software architecture and design principles, methods,
and tools for building and testing virtual Systems of Systems
(SoS). The book examines a wide variety of SoS problems, ranging
from cloud computing systems to biological systems in
agricultural food crops. This enhanced and expanded second
edition also features a new chapter on DEVS support for Markov
modeling and simulation.
This easy-to-follow textbook provides an exercise-driven guide to
the use of the Discrete Event Systems Specification (DEVS)
simulation modeling formalism and the System Entity Structure
(SES) simulation model ontology supported with the latest
advances in software architecture and design principles, methods,
and tools for building and testing virtual Systems of Systems
(SoS). The book examines a wide variety of SoS problems, ranging
from cloud computing systems to biological systems in
agricultural food crops. This enhanced and expanded second
edition also features a new chapter on DEVS support for Markov
modeling and simulation.Topics and features: provides an extensive set of exercises
throughout the text to reinforce the concepts and encourage use of
the tools, supported by introduction and summary sections;
discusses how the SoS concept and supporting virtual build and test
environments can overcome the limitations of current approaches;
offers a step-by-step introduction to the DEVS concepts and
modeling environment features required to build sophisticated SoS
models; describes the capabilities and use of the tools
CoSMoS/DEVS-Suite, Virtual Laboratory Environment, and MS4 Me™;
reviews a range of diverse applications, from the development of
new satellite design and launch technologies, to surveillance and
control in animal epidemiology; examines software/hardware
co-design for SoS, and activity concepts that bridge
information-level requirements and energy consumption in the
implementation; demonstrates how the DEVS formalism supports Markov
modeling within an advanced modeling and simulation
environment (NEW).This accessible and hands-on
textbook/reference provides invaluable practical guidance for
graduate students interested in simulation software development and
cyber-systems engineering design, as well as for practitioners in
these, and related areas.
Topics and features: provides an extensive set of exercises
throughout the text to reinforce the concepts and encourage use of
the tools, supported by introduction and summary sections;
discusses how the SoS concept and supporting virtual build and test
environments can overcome the limitations of current approaches;
offers a step-by-step introduction to the DEVS concepts and
modeling environment features required to build sophisticated SoS
models; describes the capabilities and use of the tools
CoSMoS/DEVS-Suite, Virtual Laboratory Environment, and MS4 Me™;
reviews a range of diverse applications, from the development of
new satellite design and launch technologies, to surveillance and
control in animal epidemiology; examines software/hardware
co-design for SoS, and activity concepts that bridge
information-level requirements and energy consumption in the
implementation; demonstrates how the DEVS formalism supports Markov
modeling within an advanced modeling and simulation
environment (NEW).This accessible and hands-on
textbook/reference provides invaluable practical guidance for
graduate students interested in simulation software development and
cyber-systems engineering design, as well as for practitioners in
these, and related areas.