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130626 ||| eng |
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|a 9783642112577
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|a Wolter, Katinka
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|a Stochastic Models for Fault Tolerance
|h Elektronische Ressource
|b Restart, Rejuvenation and Checkpointing
|c by Katinka Wolter
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|a 1st ed. 2010
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2010, 2010
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300 |
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|a XVI, 269 p
|b online resource
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|a Basic Concepts and Problems -- Task Completion Time -- Restart -- Applicability Analysis of Restart -- Moments of Completion Time Under Restart -- Meeting Deadlines Through Restart -- Software Rejuvenation -- Practical Aspects of Preventive Maintenance and Software Rejuvenation -- Stochastic Models for Preventive Maintenance and Software Rejuvenation -- Checkpointing -- Checkpointing Systems -- Stochastic Models for Checkpointing -- Summary, Conclusion and Outlook
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|a Mathematical statistics
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|a Electronic digital computers / Evaluation
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|a Computer science
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|a Mathematics of Computing
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|a System Performance and Evaluation
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|a Computer science / Mathematics
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653 |
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|a Probability and Statistics in Computer Science
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653 |
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|a Computer simulation
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|a Computer Modelling
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|a Theory of Computation
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a 10.1007/978-3-642-11257-7
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|u https://doi.org/10.1007/978-3-642-11257-7?nosfx=y
|x Verlag
|3 Volltext
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|a 004.0151
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|a As modern society relies on the fault-free operation of complex computing systems, system fault-tolerance has become an indispensable requirement. Therefore, we need mechanisms that guarantee correct service in cases where system components fail, be they software or hardware elements. Redundancy patterns are commonly used, for either redundancy in space or redundancy in time. Wolter’s book details methods of redundancy in time that need to be issued at the right moment. In particular, she addresses the so-called "timeout selection problem", i.e., the question of choosing the right time for different fault-tolerance mechanisms like restart, rejuvenation and checkpointing. Restart indicates the pure system restart, rejuvenation denotes the restart of the operating environment of a task, and checkpointing includes saving the system state periodically and reinitializing the system at the most recent checkpoint upon failure of the system. Her presentation includes a brief introduction to the methods, their detailed stochastic description, and also aspects of their efficient implementation in real-world systems. The book is targeted at researchers and graduate students in system dependability, stochastic modeling and software reliability. Readers will find here an up-to-date overview of the key theoretical results, making this the only comprehensive text on stochastic models for restart-related problems
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