Scheduling in Real–Time Systems presents:
∗ Rigorous discussions of the main scheduling algorithms.
∗ In–depth analyses of centralised and distributed computing systems.
∗ Detailed coverage of symmetric multiprocessor systems sharing a common memory.
∗ A complete appraisal of packet scheduling in networks.
∗ Three relevant case studies including the control system of the robot that the Pathfinder space vehicle landed on Planet Mars.
Offering end–of–chapter exercises and solutions, Scheduling in Real–time Systems will prove an invaluable textbook for university students in computer, software, electronics and control systems engineering. This book will also be an excellent reference to practising engineers and developers in the systems and communications industry.
1. Basic Concepts.
Basic notions for real–time task scheduling.
2. Scheduling of Independent Tasks.
Basic on–line algorithms for periodic tasks.
Hybrid task sets scheduling.
3. Scheduling of Dependent Tasks.
Tasks for precedence relationships.
Tasks sharing critical resources.
4. Scheduling Schemes for Handling Overload.
Scheduling techniques in overload conditions.
Handling real–time tasks with varying timing parameters.
Handling overload conditions for hybrid task sets.
5. Multiprocessor Scheduling.
First results and comparison with uniprocessor scheduling.
Multiprocessor scheduling anomalies.
6. Joint Scheduling of Tasks and Messages in Distributed Systems.
Overview of distributed real–time systems.
Task allocation in real–time distributed systems.
7. Packet Scheduling in Networks.
Network and traffic models.
Work–conserving service disciplines.
Non–work–conserving service disciplines.
8. Software Environment.
Real–time operating system and real–time kernel.
Summary of scheduling capabilities of standardized components.
9. Case Studies.
Real–time acquisition and analysis of rolling mill signals.
Embedded real–time application: Mars Pathfinder mission.
Distributed automotive application.