Resilience Assessment and Evaluation of Computing Systems
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 immensel...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.