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The resilience of computing systems includes their dependability as well as their fault tolerance and security. It defines the ability of a computing system to perform properly in the presence of various kinds of disturbances and to recover from any service degradation. These properties are immensely important in a world where many aspects of our daily life depend on the correct, reliable and secure operation of often large-scale distributed computing systems. Wolter and her co-editors grouped the 20 chapters from leading researchers into seven parts: an introduction and motivating examples, modeling techniques, model-driven prediction, measurement and metrics, testing techniques, case studies, and conclusions. The core is formed by 12 technical papers, which are framed by motivating real-world examples and case studies, thus illustrating the necessity and the application of the presented methods. While the technical chapters are independent of each other and can be read in any order, the reader will benefit more from the case studies if he or she reads them together with the related techniques. The papers combine topics like modeling, benchmarking, testing, performance evaluation, and dependability, and aim at academic and industrial researchers in these areas as well as graduate students and lecturers in related fields. In this volume, they will find a comprehensive overview of the state of the art in a field of continuously growing practical importance.

Computer systems -- Evaluation -- Congresses. --- Computer software --- Computers --- Engineering & Applied Sciences --- Computer Science --- Reliability --- Reliability. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer reliability --- Software, Computer --- Computer science. --- Computer system failures. --- Software engineering. --- Mathematical statistics. --- Computer science --- Computer mathematics. --- Quality control. --- Industrial safety. --- Computer Science. --- System Performance and Evaluation. --- Probability and Statistics in Computer Science. --- Quality Control, Reliability, Safety and Risk. --- Software Engineering. --- Mathematical Applications in Computer Science. --- Mathematics. --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Computer system performance. --- System safety. --- Computer software engineering --- Engineering --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Informatics --- Science --- Prevention --- Computer science—Mathematics. --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Computer mathematics --- Electronic data processing --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Computer failures --- Computer malfunctions --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Statistical methods --- Failures