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PhD defense: Fault-Tolerance Strategies and Probabilistic Guarantees for Real-Time Systems
Ubiquitous deployment of embedded systems is having a great impact on our society since they interact with our lives in many critical real- time applications. Typically, those embedded systems used in safety or mission critical applications (e.g., aerospace, avionics, automotive or nuclear domains) have the design objective to maintain the properties of functional correctness and timeliness even under error occurrences caused by both internal faults and faults originating from the operational environments.Fault-tolerance plays a crucial role towards achieving dependability, and the fundamental requirement for the design of effective and efficient fault-tolerance mechanisms is a realistic and applicable model of potential faults, their manifestations and consequences. An important factor to be considered in this context is the random nature of faults and error occurrences, which, if addressed in the timing analysis by assuming a rigid worst-case occurrence scenario, may lead to inaccurate results. It is also important that the design of fault-tolerance mechanisms considers multiple criticality levels of systems’ building blocks, which are predominant in contemporary embedded real-time systems.This thesis presents a framework for designing predictably dependable embedded real-time systems by jointly addressing their timeliness and reliability properties. It proposes a spectrum of fault-tolerance strategies particularly targeting dependable embedded real-time systems, together with probabilistic schedulability analysis techniques, assuming a comprehensive stochastic fault and error model.