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Computer Science - Communication Networks | Resilience Assessment and Evaluation of Computing Systems

Resilience Assessment and Evaluation of Computing Systems

Wolter, K., Avritzer, A., Vieira, M., van Moorsel, A. (Eds.)

2012, XVIII, 490 p.

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  • Defines and positions resilience in relation to dependability, performance engineering, and system testing
  • Provides a comprehensive overview of current and upcoming trends in computer system resilience assessment, as well as evaluation methods and techniques
  • Illustrates the applicability of the presented techniques using real-world examples and case studies

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.

Content Level » Research

Keywords » benchmarking - dependability - networks - performance - reliability - robustness - statistical methods - stochastic modeling - system evaluation - testing

Related subjects » Communication Networks - Production & Process Engineering - Software Engineering - Theoretical Computer Science

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