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Books > Computing & IT > Computer programming > Software engineering
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Netcentric System of Systems Engineering with DEVS Unified Process (Hardcover, New)
Loot Price: R7,797
Discovery Miles 77 970
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Netcentric System of Systems Engineering with DEVS Unified Process (Hardcover, New)
Series: System of Systems Engineering
Expected to ship within 12 - 17 working days
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In areas such as military, security, aerospace, and disaster
management, the need for performance optimization and
interoperability among heterogeneous systems is increasingly
important. Model-driven engineering, a paradigm in which the model
becomes the actual software, offers a promising approach toward
systems of systems (SoS) engineering. However, model-driven
engineering has largely been unachieved in complex dynamical
systems and netcentric SoS, partly because modeling and simulation
(M&S) frameworks are stove-piped and not designed for SoS
composability. Addressing this gap, Netcentric System of Systems
Engineering with DEVS Unified Process presents a methodology for
realizing the model-driven engineering vision and netcentric SoS
using DEVS Unified Process (DUNIP). The authors draw on their
experience with Discrete Event Systems Specification (DEVS)
formalism, System Entity Structure (SES) theory, and applying
model-driven engineering in the context of a netcentric SoS. They
describe formal model-driven engineering methods for netcentric
M&S using standards-based approaches to develop and test
complex dynamic models with DUNIP. The book is organized into five
sections: Section I introduces undergraduate students and novices
to the world of DEVS. It covers systems and SoS M&S as well as
DEVS formalism, software, modeling language, and DUNIP. It also
assesses DUNIP with the requirements of the Department of Defense's
(DoD) Open Unified Technical Framework (OpenUTF) for netcentric
Test and Evaluation (T&E). Section II delves into M&S-based
systems engineering for graduate students, advanced practitioners,
and industry professionals. It provides methodologies to apply
M&S principles to SoS design and reviews the development of
executable architectures based on a framework such as the
Department of Defense Architecture Framework (DoDAF). It also
describes an approach for building netcentric knowledge-based
contingency-driven systems. Section III guides graduate students,
advanced DEVS users, and industry professionals who are interested
in building DEVS virtual machines and netcentric SoS. It discusses
modeling standardization, the deployment of models and simulators
in a netcentric environment, event-driven architectures, and more.
Section IV explores real-world case studies that realize many of
the concepts defined in the previous chapters. Section V outlines
the next steps and looks at how the modeling of netcentric complex
adaptive systems can be attempted using DEVS concepts. It touches
on the boundaries of DEVS formalism and the future work needed to
utilize advanced concepts like weak and strong emergence,
self-organization, scale-free systems, run-time modularity, and
event interoperability. This groundbreaking work details how DUNIP
offers a well-structured, platform-independent methodology for the
modeling and simulation of netcentric system of systems.
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