“The book is a classic that results from the author’s two decades of teaching and research activities. The present third edition is extended by many meaningful issues … additional protocols, new concepts, exercises, etc. … this is a useful, serious book that collects and uniformly presents and compares existing techniques for design and implementation of real-time systems. … I recommend this book, not only as a textbook for students, but also as a handbook for researchers and practitioners working in this field.” (Fevzi Belli, Zentralblatt MATH, Vol. 1246, 2012)
“This book describes and analyzes many algorithms for scheduling such tasks in real-time systems. … The book can be used as an undergraduate- and graduate-level textbook for courses involving real-time systems. The initial chapters are a good introduction to real-time systems for beginners. Professionals and researchers working with real-time systems will find the scheduling algorithms useful.” (Maulik A. Dave, ACM Computing Reviews, July, 2012)
Hard Real-Time Computing Systems
Predictable Scheduling Algorithms and Applications
This updated edition offers an indispensable exposition on real-time computing, with particular emphasis on predictable scheduling algorithms. It introduces the fundamental concepts of real-time computing, demonstrates the most significant results in the field, and provides the essential methodologies for designing predictable computing systems used to support time-critical control applications. Along with an in-depth guide to the available approaches for the implementation and analysis of real-time applications, this revised edition contains a close examination of recent developments in real-time systems, including limited preemptive scheduling, resource reservation techniques, overload handling algorithms, and adaptive scheduling techniques. This volume serves as a fundamental advanced-level textbook. Each chapter provides basic concepts, which are followed by algorithms, illustrated with concrete examples, figures and tables. Exercises and solutions are provided to enhance self-study, making this an excellent reference for those interested in real-time computing for designing and/or developing predictable control applications.
