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

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This guide demonstrates how virtual build and test can be supported by the Discrete Event Systems Specification (DEVS) simulation modeling formalism, and the System Entity Structure (SES) simulation model ontology. The book examines a wide variety of Syst

Guide to Modeling and Simulation of Systems of Systems (Simulation Foundations, Methods and Applications) Review

The book describes the fundamentals of the Discrete Event System Specification (DEVS) and System Entity Structure (SES) formalisms, the pillars of DEVS systems engineering. This book is divided in three parts. The first part deals with basics of DEVS and SES formalisms that leads on to advanced concepts in the second part. The ideas presented in the first two parts of the book have been implemented in many real life projects successfully as described in the third part of the book. Various DEVS-based integrated development environments are showcased along with real world applications that they help engineer. The book is an important contribution to the model-based systems engineering paradigm and is appropriate for novices, practitioners and advanced students. The book guides them to various DEVS-based tools currently in practice.

The book rovides a remarkable review of DEVS legacy, state-of-the-art, and various books that have been published since 1976 in the System of Systems (SoS) modeling and simulation area, including the books by one of the authors and DEVS pioneer, Bernard Zeigler. The list also includes the reviewer's book on "Netcentric systems of systems engineering by DEVS Unified Process", CRC Press, Boca Raton, FL; ISBN-10: 1439827060

This book is an important addition to the DEVS library and is a great reference material to Zeigler's classic text on the theory of modeling and simulation (ISBN-10: 0127784551), a kind of handbook for its application to real problems. Besides it opens up whole new areas of DEVS and SES-based research in modeling and simulation.

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