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001 | 308855 | ||
003 | MX-SnUAN | ||
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007 | cr nn 008mamaa | ||
008 | 150903s2010 gw | o |||| 0|eng d | ||
020 |
_a9783834897077 _99783834897077 |
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024 | 7 |
_a10.1007/9783834897077 _2doi |
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035 | _avtls000363353 | ||
039 | 9 |
_a201509030637 _bVLOAD _c201405070343 _dVLOAD _y201402211144 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aQA75.5-76.95 | |
100 | 1 |
_aWarns, Timo. _eautor _9348897 |
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245 | 1 | 0 |
_aStructural Failure Models for Fault-Tolerant Distributed Computing / _cby Timo Warns. |
264 | 1 |
_aWiesbaden : _bVieweg+Teubner, _c2010. |
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300 |
_axv, 216 páginas 23 ilustraciones _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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_acomputadora _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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347 |
_aarchivo de texto _bPDF _2rda |
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500 | _aSpringer eBooks | ||
505 | 0 | _aModelling Fault-Tolerant Distributed Systems -- Modelling Fault Assumptions with Structural Failure Models -- Constructing Coteries -- Reaching Consensus -- Conclusion and FutureWork. | |
520 | _aGiven that faults cannot be prevented in sufficiently complex systems, means of fault tolerance are essential for dependable distributed systems. Designing and evaluating fault-tolerant systems require well-conceived fault models. In the past, theoretical works have used simplified models that, while being tractable, turned out to be inaccurate. Practical works have used probabilistic fault models that, while being more accurate, often turned out to be intractable. Timo Warns bridges the gap between theory and practice regarding fault models. He has developed tractable fault models that, while being non-probabilistic, are accurate for dependent and propagating faults. Using seminal problems such as consensus and constructing coteries, he demonstrates how the new models can be used to design and evaluate effective and efficient means of fault tolerance. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9783834812872 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-8348-9707-7 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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