TY  - BOOK
AU  - 
AU  - 
AU  - 
ED  - SpringerLink (Online service)
TI  - Dependability of Networked Computer-based Systems
T2  - Springer Series in Reliability Engineering,
SN  - 9780857293183
AV  - TA169.7 
U1  - 658.56 23
PY  - 2011///
CY  - London
PB  - Springer London
KW  - Engineering
KW  - Operating systems (Computers)
KW  - Computer system performance
KW  - Computer science
KW  - System safety
KW  - Telecommunication
KW  - Quality Control, Reliability, Safety and Risk
KW  - Performance and Reliability
KW  - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
KW  - Communications Engineering, Networks
KW  - System Performance and Evaluation
KW  - Models and Principles
N1  - 1. Introduction -- 2. Probability Theory -- 3. Stochastic Processes and Models -- 4. Dependability Models of Computer-based Systems -- 5 Network Technologies for Real-time systems -- 6. Response-time Models and Timeliness Hazard Rate -- 7. Dependability of Networked Computer-based Systems; ZDB-2-ENG
N2  - The measurement of dependability attributes on real systems is a very time-consuming and costly affair, making analytical or simulation modeling the only viable solutions. Dependability of Networked Computer-based Systems explores reliability, availability and safety modeling of networked computer-based systems used in life-critical applications such as avionics, nuclear power plants, automobiles and chemical process industries. Dependability of Networked Computer-based Systems gives an overview of basic dependability modeling concepts and addresses new challenges in dependability modeling of networked computer-based systems, as well as new trends, their capabilities and limitations. It covers a variety of dependability modeling methods: stochastic processes, Markov and semi-Markov models, response-time distribution, stochastic Petri-net-based modeling formalisms, and Monte Carlo simulation models. Dependability of Networked Computer-based Systems provides students and researchers with a detailed overview of dependability models and analysis techniques. Practicing engineers will also find this text a useful guide to decision-making based on system dependability at the design, operation and maintenance stages
UR  - http://dx.doi.org/10.1007/978-0-85729-318-3
ER  -