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Resilience Assessment and Evaluation of Computing Systems

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Cover of 'Resilience Assessment and Evaluation of Computing Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Fault Tolerance and Resilience: Meanings, Measures and Assessment
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    Chapter 2 Resilience in Mobile Networks: A Need and a Challenge
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    Chapter 3 Assessing Dependability and Resilience in Critical Infrastructures: Challenges and Opportunities
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    Chapter 4 Providing Dependability and Resilience in the Cloud: Challenges and Opportunities
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    Chapter 5 Phase-Type Distributions
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    Chapter 6 Scalable Stochastic Modelling for Resilience
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    Chapter 7 Modelling and Model-Based Assessment
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    Chapter 8 Software Aging and Rejuvenation for Increased Resilience: Modeling, Analysis and Applications
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    Chapter 9 Online Prediction: Four Case Studies
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    Chapter 10 Foundations of Metrology in the Observation of Critical Systems
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    Chapter 11 Field Studies on Resilience: Measurements and Repositories
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    Chapter 12 Failure Diagnosis of Complex Systems
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    Chapter 13 Fault Injection
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    Chapter 14 Resilience Benchmarking
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    Chapter 15 Resilience Assessment Based on Performance Testing
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    Chapter 16 Robustness Testing Techniques and Tools
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    Chapter 17 Case Study: Mobile Networks
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    Chapter 18 Case Study on Critical Infrastructures: Assessment of Electric Power Systems
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    Chapter 19 Providing Dependability and Performance in the Cloud: Case Studies
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    Chapter 20 Future of Resilience Assessment: The AMBER Research Roadmap
Attention for Chapter 16: Robustness Testing Techniques and Tools
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Chapter title
Robustness Testing Techniques and Tools
Chapter number 16
Book title
Resilience Assessment and Evaluation of Computing Systems
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-29032-9_16
Book ISBNs
978-3-64-229031-2, 978-3-64-229032-9
Authors

Zoltán Micskei, Henrique Madeira, Alberto Avritzer, István Majzik, Marco Vieira, Nuno Antunes

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 3%
Luxembourg 1 3%
Brazil 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Student > Master 6 20%
Other 2 7%
Student > Bachelor 2 7%
Unspecified 1 3%
Other 2 7%
Unknown 9 30%
Readers by discipline Count As %
Computer Science 8 27%
Economics, Econometrics and Finance 4 13%
Mathematics 2 7%
Engineering 2 7%
Unspecified 1 3%
Other 4 13%
Unknown 9 30%