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Stochastic Discrete Event Systems Modeling, Evaluation, Applications /
The behavior of many technical systems important in everyday life can be described using discrete states and state-changing events. Stochastic discrete-event systems (SDES) capture the randomness in choices and over time due to activity delays and the probabilities of decisions. The starting point f...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 003 | DE-He213 | ||
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| 008 | 100301s2008 gw | s |||| 0|eng d | ||
| 020 | |a 9783540741732 |9 978-3-540-74173-2 | ||
| 024 | 7 | |a 10.1007/978-3-540-74173-2 |2 doi | |
| 050 | 4 | |a QA76.9.M35 | |
| 050 | 4 | |a QA276-280 | |
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| 100 | 1 | |a Zimmermann, Armin. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Stochastic Discrete Event Systems |h [electronic resource] : |b Modeling, Evaluation, Applications / |c by Armin Zimmermann. |
| 250 | |a 1st ed. 2008. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2008. | |
| 300 | |a XVI, 392 p. 86 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Modeling -- A Unified Description for Stochastic Discrete Event Systems -- Stochastic Timed Automata -- Queuing Models -- Simple Petri Nets -- Colored Petri Nets -- Evaluation -- Standard Quantitative Evaluation Methods for SDES -- An Iterative Approximation Method -- Efficient Simulation of SDES Models -- System Optimization -- Model-Based Direct Control -- Software Tool Support -- Applications -- Optimization of a Manufacturing System -- Communication System Performability Evaluation -- Supply Chain Performance Evaluation and Design -- Model-Based Design and Control of a Production Cell -- Summary and Outlook. | |
| 520 | |a The behavior of many technical systems important in everyday life can be described using discrete states and state-changing events. Stochastic discrete-event systems (SDES) capture the randomness in choices and over time due to activity delays and the probabilities of decisions. The starting point for the evaluation of quantitative issues like performance and dependability is a formal description of the system of interest in a model. Armin Zimmermann delivers a coherent and comprehensive overview on modeling with and quantitative evaluation of SDES. An abstract model class for SDES is presented as a pivotal unifying result. Several important model classes, including queuing networks, Petri nets and automata, are detailed together with their formal translation into this abstract model class. Standard and recently developed algorithms for the performance evaluation, optimization and control of SDES are presented in the context of the abstract model class. The necessary software tool support is also covered. The book is completed with nontrivial examples from areas like manufacturing control, performance of communication systems, and supply-chain management, highlighting the application of the techniques presented. For researchers and graduate students this monograph summarizes the body of knowledge for modeling and evaluating SDES, while bringing it to a new abstraction level with the introduction of a new and unifying framework. In addition, the extensive reference list is an excellent starting point for further detailed reading and research. | ||
| 650 | 0 | |a Computer science-Mathematics. | |
| 650 | 0 | |a Mathematical statistics. | |
| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Electronic digital computers-Evaluation. | |
| 650 | 0 | |a Computer simulation. | |
| 650 | 0 | |a Mathematical models. | |
| 650 | 1 | 4 | |a Probability and Statistics in Computer Science. |
| 650 | 2 | 4 | |a Probability Theory. |
| 650 | 2 | 4 | |a System Performance and Evaluation. |
| 650 | 2 | 4 | |a Computer Modelling. |
| 650 | 2 | 4 | |a Mathematical Modeling and Industrial Mathematics. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783540842149 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642093500 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540741725 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-540-74173-2 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||