Network Reliability and Resilience [recurso electrónico] / by Ilya Gertsbakh, Yoseph Shpungin.
Tipo de material:
TextoSeries SpringerBriefs in Electrical and Computer EngineeringEditor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: X, 64p. 21 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642223747Tema(s): Engineering | Computer network architectures | System safety | Telecommunication | Engineering | Communications Engineering, Networks | Computer Systems Organization and Communication Networks | Quality Control, Reliability, Safety and RiskFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TK1-9971Recursos en línea: Libro electrónico
En: Springer eBooksResumen: This book is devoted to the probabilistic description of a network in the process of its destruction, i.e. removal of its components (links, nodes) appearing as a result of technical failures, natural disasters or intentional attacks . It is focused on a practical approach to network reliability, based on application of Monte Carlo methodology to numerical evaluation of network most important structural parameters. This allows to obtain a probabilistic description of the network in the process of its destruction, to identify most important network components and to develop efficient heuristic algorithms for network optimal design. The methodology works with satisfactory accuracy and efficiency for small –to-medium size networks.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | TK1 -9971 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 376477-2001 |
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This book is devoted to the probabilistic description of a network in the process of its destruction, i.e. removal of its components (links, nodes) appearing as a result of technical failures, natural disasters or intentional attacks . It is focused on a practical approach to network reliability, based on application of Monte Carlo methodology to numerical evaluation of network most important structural parameters. This allows to obtain a probabilistic description of the network in the process of its destruction, to identify most important network components and to develop efficient heuristic algorithms for network optimal design. The methodology works with satisfactory accuracy and efficiency for small –to-medium size networks.
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