Guide to Modeling and Simulation of Systems of Systems Guide to Modeling and Simulation of Systems of Systems
Simulation Foundations, Methods and Applications

Guide to Modeling and Simulation of Systems of Systems

    • ‏69٫99 US$
    • ‏69٫99 US$

وصف الناشر

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.

Dr. Bernard P. Zeigler is Emeritus Professor of Electrical & Computer Engineering and Co-Director of the Arizona Center for Integrative Modeling and Simulation (ACIMS), at the University of Arizona, Tucson, USA. He is also Chief Scientist at RTSync, Rockville, MD, USA. Dr. Hessam S. Sarjoughian is Associate Professor of Computer Science and Co-Director of ACIMS at Arizona State University, Tempe, USA.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٢١ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Model-Driven Engineering and Software Development Model-Driven Engineering and Software Development
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System Analysis and Modeling. Technology-Specific Aspects of Models System Analysis and Modeling. Technology-Specific Aspects of Models
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Model-Driven Engineering and Software Development Model-Driven Engineering and Software Development
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SDL 2009: Design for Motes and Mobiles SDL 2009: Design for Motes and Mobiles
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Autonomic Computing and Communications Systems Autonomic Computing and Communications Systems
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Software Engineering and Formal Methods Software Engineering and Formal Methods
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Theory of Modeling and Simulation Theory of Modeling and Simulation
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Model Engineering for Simulation Model Engineering for Simulation
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Body of Knowledge for Modeling and Simulation Body of Knowledge for Modeling and Simulation
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Modeling and Simulation-Based Data Engineering (Enhanced Edition) Modeling and Simulation-Based Data Engineering (Enhanced Edition)
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Modeling and Simulation in the Systems Engineering Life Cycle Modeling and Simulation in the Systems Engineering Life Cycle
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Modelling and Simulation Modelling and Simulation
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Guide to Distributed Simulation with HLA Guide to Distributed Simulation with HLA
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Hybrid Modeling and Simulation Hybrid Modeling and Simulation
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Body of Knowledge for Modeling and Simulation Body of Knowledge for Modeling and Simulation
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Models for Research and Understanding Models for Research and Understanding
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