Distributed Real-Time Systems

• Explain the key principles and definitions of distributed real-time systems engineering
• Understand the concepts and operations of real-time task models and schedulability analysis
• Apply techniques for real-time network analysis, focusing on Time-Sensitive Networking (TSN)
• Analyze scheduling algorithms and traffic shaping policies for real-time systems
• Evaluate different strategies for system optimization, including task mapping to cores and routing of messages
• Create simulations to test scheduling or traffic shaping policies in distributed real-time systems
• Apply metaheuristic optimization methods to solve complex system optimization problems
• Design distributed real-time system architectures that meet specified requirements
• Critique and optimize distributed real-time systems based on performance metrics
• Communicate complex system designs and optimizations effectively in both written and oral forms

The course is structured into three main sections: (1) Introduction to real-time systems, focusing on the periodic task model and schedulability analysis. (2) Detailed exploration of real-time networks, especially Time-Sensitive Networking (TSN), and their importance in distributed systems. (3) Application of knowledge through exercises and a project on system simulation, scheduling policies, traffic shaping, and system optimization, including task mapping and message routing. Metaheuristics as an optimization method will be introduced for system optimization challenges.

02160/02161/02132/02135, Students are expected to be familiar with an imperative programming language and basics of computer architecture

Lectures, exercises and project work