000 | 03397nam a22004335i 4500 | ||
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001 | u373973 | ||
003 | SIRSI | ||
005 | 20160812084211.0 | ||
007 | cr nn 008mamaa | ||
008 | 100623s2010 gw | s |||| 0|eng d | ||
020 |
_a9783642112577 _9978-3-642-11257-7 |
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040 | _cMX-MeUAM | ||
050 | 4 | _aQA76.9.E94 | |
082 | 0 | 4 |
_a004.24 _223 |
100 | 1 |
_aWolter, Katinka. _eauthor. |
|
245 | 1 | 0 |
_aStochastic Models for Fault Tolerance _h[recurso electrónico] : _bRestart, Rejuvenation and Checkpointing / _cby Katinka Wolter. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2010. |
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300 |
_aXVI, 269 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aBasic 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. | |
520 | _aAs 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. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer system performance. | |
650 | 0 | _aComputer simulation. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aSystem Performance and Evaluation. |
650 | 2 | 4 | _aProbability and Statistics in Computer Science. |
650 | 2 | 4 | _aSimulation and Modeling. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642112560 |
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-11257-7 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c201853 _d201853 |