Real-time and embedded systems are essential to our lives, from controlling car engines and regulating traffic lights to monitoring plane takeoffs and landings to providing up-to-the-minute stock quotes. Bringing together researchers from both academia and industry, the Handbook of Real-Time and Embedded Systems provides comprehensive coverage of the most advanced and timely topics in the field.

The book focuses on several major areas of real-time and embedded systems. It examines real-time scheduling and resource management issues and explores the programming languages, paradigms, operating systems, and middleware for these systems. The handbook also presents challenges encountered in wireless sensor networks and offers ways to solve these problems. It addresses key matters associated with real-time data services and reviews the formalisms, methods, and tools used in real-time and embedded systems. In addition, the book considers how these systems are applied in various fields, including adaptive cruise control in the automobile industry.

With its essential material and integration of theory and practice, the Handbook of Real-Time and Embedded Systems facilitates advancements in this area so that the services we rely on can continue to operate successfully.

Researchers in management, industrial engineering, operations, and computer science have intensely studied scheduling for more than 50 years, resulting in an astounding body of knowledge in this field. Handbook of Scheduling: Algorithms, Models, and Performance Analysis, the first handbook on scheduling, provides full coverage of the most recent and advanced topics on the subject. It assembles researchers from all relevant disciplines in order to facilitate cross-fertilization and create new scheduling insights. The book comprises six major parts, each of which breaks down into smaller chapters: * Part I introduces materials and notation, with tutorials on complexity theory and algorithms for the minimization of makespan, total completion time, dual objectives, maximum lateness, the number of late jobs, and total tardiness. * Part II is devoted to classical scheduling problems. * Part III explores scheduling models that originate in computer science, operations research, and management science. * Part IV examines scheduling problems that arise in real-time systems, focusing on meeting hard deadline constraints while maximizing machine utilization. * Part V discusses stochastic scheduling and queueing networks, highlighting jobs that are not deterministic. * Part VI covers applications, discussing scheduling problems in airline, process, and transportation industries, as well as in hospitals and educational institutions.