Stochastic Models for Fault Tolerance

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Stochastic Models for Fault Tolerance / Katinka Wolter

資料種別:: 電子ブック
出版情報:: Springer eBooks Computer Science
Springer Berlin Heidelberg, 2010
著者名:: Wolter, Katinka
ISBN:: 9783642112560 [3642112560]
9786612925900 [6612925906]
9783642435003 [3642435009]
書誌ID:: OB00351048

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その他の標題:

Stochastic models for fault tolerance

言語:

英語

目次情報:

Introduction / Part I：

Basic Concepts and Problems / 1：

The Timeout Problem / 1.1：

System and Fault Models / 1.2：

Preventive Maintenance / 1.3：

Note on Terminology / 1.4：

Outline / 1.5：

Task Completion Time / 2：

Bounded Downtime / 2.1：

System Lifetime / 2.1.1：

Cumulative Uptime / 2.1.2：

Probability of Task Completion / 2.1.3：

Bounded Accumulated Downtime / 2.2：

system Lifetime / 2.2.1：

Bounded Number of Failures / 2.2.2：

Restart / 2.3.1：

Applicability Analysis of Restart / 3：

Applications of Restart / 3.1：

Randomised Algorithms / 3.1.1：

Optimal Restart Time for a Randomised Algorithm / 3.1.2：

Failure Detectors / 3.1.3：

Congestion Control in TCP / 3.1.4：

Criteria for Successful Restarts / 3.2：

When Does Restart Improve the Expected Completion Time? / 3.2.1：

When Does Restart Improve the Probability of Meeting a Deadline? / 3.2.2：

Conclusions / 3.3：

Moments of Completion Time Under Restart / 4：

The Information Captured by the Moments of a Distribution / 4.1：

Models for Moments of Completion Time / 4.2：

Unbounded Number of Restarts / 4.2.1：

Finite Number of Restarts / 4.2.2：

Optimal Restart Times for the Moments of Completion Time / 4.3：

Expected Completion Time / 4.3.1：

Optimal Restart Times for Higher Moments / 4.3.2：

Case Study: Optimising Expected Completion Time in Web Services Reliable Messaging / 4.4：

Metrics for the Fairness-Timeliness tradeoff / 4.4.1：

Oracles for Restart / 4.4.2：

Results / 4.4.3：

HTTP Transport / 4.5：

60 s Disruption / 4.5.1：

Packet Loss / 4.5.2：

Mail Transport / 4.5.3：

Meeting Deadlines Through Restart / 5：

A Model for the Probability of Meeting a Deadline Under Restart / 5.1：

Algorithms for Optimal Restart Times / 5.2：

An Engineering Rule to Approximate the Optimal Restart Time / 5.3：

Towards Online Restart for Self-Management of Systems / 5.4：

Estimating the Hazard Rate / 5.4.1：

Experiments / 5.4.2：

Software Rejuvenation / Part III：

Practical Aspects of Preventive Maintenance and Software Rejuvenation / 6：

Stochastic Models for Preventive Maintenance and Software Rejuvenation / 6.1：

A Markovian Software Rejuvenation Model / 7.1：

Aging in the Modelling of Software Rejuvenation / 7.2：

Behaviour in State A under Policy I / 7.2.1：

Behaviour in State A under Policy II / 7.2.2：

A Petri Net Model / 7.3：

A Non-Markovian Preventive Maintenance Model / 7.4：

Stochastic Processes for Shock and Inspection-Based Modelling / 7.5：

The Inspection Model with Alert Threshold Policy / 7.5.1：

The Shock Model with a Risk Policy / 7.5.2：

Inspection-Based Modelling using the MÃ¶bius Modelling Tool / 7.6：

Comparative Summary of the Stochastic Models / 7.7：

Further Reading / 7.8：

Checkpointing / Part IV：

Checkpointing Systems / 8：

Checkpointing Single-Unit Systems / 8.1：

Checkpointing in Distributed Systems / 8.2：

Stochastic Models for Checkpointing / 9：

Checkpointing at Program Level / 9.1：

Equidistant Checkpointing / 9.1.1：

Checkpointing Real-Time Tasks / 9.1.2：

Random Checkpointing Intervals / 9.1.3：

Algorithms for Optimum Checkpoint Selection / 9.1.4：

Checkpointing at System Level / 9.2：

Analytic Models for Checkpointing Transaction-Based Systems / 9.2.1：

Checkpointing Policies for Transaction-Based Systems / 9.2.2：

A Queueing Model for Checkpointing Transaction-Based Systems / 9.2.3：

A Trade-Off Metric for Optimal Checkpoint Selection / 9.3：

Summary / 9.4：

Summary, Conclusion and Outlook / 10：

Properties in Discrete Systems / A：

Cumulative First Moment / A.1：

The Gamma Function / A.2：

Important Probability Distributions / B：

Discrete Probability Distributions / B.1：

The Binomial Distribution / B.1.1：

The Multinomial Distribution / B.1.2：

The Geometric Distribution / B.1.3：

The Poisson Distribution / B.1.4：

Continuous Probability Distributions / B.2：

The Exponential Distribution / B.2.1：

The Erlang Distribution and the Hypo-exponential Distribution / B.2.2：

The Hyperexponential Distribution / B.2.3：

The Mixed Hyper/Hypo-exponential Distribution / B.2.4：

The Weibull Distribution / B.2.5：

The Lognormal Distribution / B.2.6：

Cumulative Hazard Rate / C：

Epanechnikov Kernel / C.2：

Bandwidth Estimation / C.3：

The Laplace and the Laplace-Stieltjes Transform / D：

References

Index

Glossary

Introduction / Part I：

Basic Concepts and Problems / 1：

The Timeout Problem / 1.1：

System and Fault Models / 1.2：

Preventive Maintenance / 1.3：

Note on Terminology / 1.4：

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