Structural Failure Models for Fault Tolerant Distributed Computing Timo Warns has developed tractable fault models that while being non probabilistic are accurate for dependent and propagating faults. Using seminal problems such as consensus and constructing coteries he demonstrates how the new models can be used to design and evaluate effective and efficient means of fault tolerance. Dr. Timo Warns completed his doctoral thesis under the supervision of Prof. Dr. Wilhelm Hasselbring at the Carl von Ossietzky University of Oldenburg. Given that faults cannot be prevented in sufficiently complex systems means of fault tolerance are essential for dependable distributed systems. Designing and evaluating fault tolerant systems require well conceived fault models. In the past theoretical works have used simplified models that while being tractable turned out to be inaccurate. Practical works have used probabilistic fault models that while being more accurate often turned out to be intractable. Timo Warns bridges the gap between theory and practice regarding fault models. He has developed tractable fault models that while being non probabilistic are accurate for dependent and propagating faults. Using seminal problems such as consensus and constructing coteries he demonstrates how the new models can be used to design and evaluate effective and efficient means of fault tolerance.