rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Resilience Assessment and Evaluation of Computing Systems
  name:
    name part: Wolter, Katinka.
    role:
      role term: editor.
  name:
    name part: Avritzer, Alberto.
    role:
      role term: editor.
  name:
    name part: Vieira, Marco.
    role:
      role term: editor.
  name:
    name part: van Moorsel, Aad.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 490 p. online resource.
  abstract: 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.
  table of contents: Part I Introduction and Motivating Examples -- Fault Tolerance and Resilience: Meanings, Measures and Assessment -- Resilience in Mobile Networks: A Need and a Challenge -- Assessing Dependability and Resilience in Critical Infrastructures: Challenges and Opportunities -- Providing Dependability and Resilience in the Cloud: Challenges and Opportunities -- Part II Modelling Techniques -- Phase-Type Distributions -- Scalable Stochastic Modelling for Resilience -- Part III Model-Driven Prediction -- Modelling and Model-Based Assessment -- Software Aging and Rejuvenation for Increased Resilience: Modeling, Analysis and Applications -- Online Prediction: Four Case Studies -- Part IV Measurement and Metrics -- Foundations of Metrology in the Observation of Critical Systems -- Field Studies on Resilience: Measurements and Repositories -- Failure Diagnosis of Complex Systems -- Fault Injection -- Resilience Benchmarking -- Part V Testing Techniques -- Enforcing Resilience by Systematic Testing based on Structural and Operational Coverage Measures -- Resilience Assessment based on Performance Testing -- Robustness Testing Techniques and Tools -- Part VI Case Studies -- Case Study: Mobile Networks -- Case Study on Critical Infrastructures: Assessment of Electric Power Systems -- Providing Dependability and Performance in the Cloud: Case Studies -- Part VII Conclusions and Outlook -- Future of Resilience Assessment: The AMBER Research Roadmap.
  note: edited by Katinka Wolter, Alberto Avritzer, Marco Vieira, Aad van Moorsel.
  subject:
    topic: Computer science
  subject:
    topic: Computer system failures
  subject:
    topic: Software engineering
  subject:
    topic: Mathematical statistics
  subject:
    topic: Computer science
    topic: Mathematics
  subject:
    topic: Computer mathematics
  subject:
    topic: Quality control
  subject:
    topic: Reliability
  subject:
    topic: Industrial safety
  subject:
    topic: Computer Science
  subject:
    topic: System Performance and Evaluation
  subject:
    topic: Probability and Statistics in Computer Science
  subject:
    topic: Quality Control, Reliability, Safety and Risk
  subject:
    topic: Software Engineering
  subject:
    topic: Mathematical Applications in Computer Science
  classification: QA76.9.E94
  classification: 004.24
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642290329
  identifier: http://dx.doi.org/10.1007/978-3-642-29032-9
  record info:
    record creation date: 121116
    record change date: 20151204163424.0
    record identifier: 978-3-642-29032-9