000 02460nam a22003615i 4500
001 308855
003 MX-SnUAN
005 20160429160234.0
007 cr nn 008mamaa
008 150903s2010 gw | o |||| 0|eng d
020 _a9783834897077
_99783834897077
024 7 _a10.1007/9783834897077
_2doi
035 _avtls000363353
039 9 _a201509030637
_bVLOAD
_c201405070343
_dVLOAD
_y201402211144
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA75.5-76.95
100 1 _aWarns, Timo.
_eautor
_9348897
245 1 0 _aStructural Failure Models for Fault-Tolerant Distributed Computing /
_cby Timo Warns.
264 1 _aWiesbaden :
_bVieweg+Teubner,
_c2010.
300 _axv, 216 páginas 23 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
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
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)
942 _c14
999 _c308855
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