Real-time Embedded Components and Systems (Da Vinci Engineering) - Hardcover

Siewert, Sam

9781584504689: Real-time Embedded Components and Systems (Da Vinci Engineering)

Hardcover

ISBN 10: 1584504684 ISBN 13: 9781584504689

Publisher: Charles River Media, 2006

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Due to the rapidly expanding market for digital media services and systems, there is a growing interest in real-time systems. Real-Time Embedded Systems and Components is a much-needed resource addressing this field for practicing engineers and students, particularly engineers moving from best-effort applications to hard or soft real-time applications. The book is written to teach practicing engineers how to apply real-time theory to the design of embedded components and systems in order to successfully build a real-time embedded system. It is also intended to provide a balance of fundamental theory, review of industry practice, and hands-on experience for undergraduate seniors or first-year grad students preparing for a career in the real-time embedded system industries. Throughout the book, you'll explore hard real-time theory and soft real-time concepts, real-time scheduling, debugging components, high availability and high reliability design, system lifecycles, and the processes for hardware, firmware, and software development for systems built from components. And you'll find a balance of theory, practice, and applications to help you learn the fundamental concepts needed to build your own real-time embedded system.

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About the Author

Sam Siewert (Erie, CO) is a principal engineer and an adjunct professor at the University of Colorado at Boulder where he teaches Real-Time Embedded Systems in the department of Electrical and Computer Engineering. He has worked on hard real-time systems for more than 12 years as a contractor to NASA for deep space and astronautic systems and more than 5 years in the telecommunications and storage systems industry. Sam received his BS in Aerospace and Mechanical Engineering from the University of Notre Dame and his Ph.D. in Computer Science from the University of Colorado at Boulder.

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