Guide to modeling and simulation of systems of systems /

Guide to modeling and simulation of systems of systems /

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Bibliographic Details
Author / Creator:Zeigler, Bernard P., 1940- author.
Edition:Second edition.
Imprint:Cham, Switzerland : Springer, [2017]
Description:1 online resource (xiv, 400 pages)
Language:English
Series:Simulation Foundations, Methods and Applications, 2195-2817
Simulation foundations, methods and applications,
Subject:
System design -- Computer simulation.
Virtual reality.
Computer simulation.
Virtual reality.
Computer science.
Computer simulation.
Computer system failures.
Management information systems.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11384603
Hidden Bibliographic Details
Other authors / contributors:Sarjoughian, Hessam S., author.
ISBN:9783319641348
3319641344
3319641336
9783319641331
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Summary: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.
Other form:Printed edition: 9783319641331
Standard no.:10.1007/978-3-319-64134-8
Table of Contents:
  • Part I
  • Modeling and Simulation of Systems of Systems
  • DEVS Integrated Development Environments
  • System Entity Structure Basics
  • DEVS Natural Language Models and Elaborations
  • Specialization and Pruning
  • Aspects and Multi-Aspects
  • Managing Inheritance in Pruning
  • Automated and Rule-Based Pruning
  • Part II
  • DEVS Simulation Protocol
  • Dynamic Structure: Agent Modeling and Publish/Subscribe
  • Interest-Based Information Exchange: Mappings and Models
  • Languages for Constructing DEVS Models
  • Part III
  • Flexible Modeling Support Environments
  • Service-Based Software Systems
  • Cloud System Simulation Modeling
  • Model Development and Execution Process with Repositories, Validation and Verification
  • Modeling and Simulation of Living Systems as Systems of Systems
  • Activity-Based Implementations of Systems of Systems
  • DEVS Support for Markov Modeling and Simulation.

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