Library of American University of Madaba
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Verma, Ajit Kumar.
Dependability of Networked Computer-based Systems [electronic resource] / by Ajit Kumar Verma, Srividya Ajit, Manoj Kumar. - XVIII, 202 p. online resource. - Springer Series in Reliability Engineering, 1614-7839 .
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.
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.
9780857293183
Engineering.
Operating systems (Computers).
Computer system performance.
Computer science.
System safety.
Telecommunication.
Engineering.
Quality Control, Reliability, Safety and Risk.
Performance and Reliability.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Communications Engineering, Networks.
System Performance and Evaluation.
Models and Principles.
658.56
Dependability of Networked Computer-based Systems [electronic resource] / by Ajit Kumar Verma, Srividya Ajit, Manoj Kumar. - XVIII, 202 p. online resource. - Springer Series in Reliability Engineering, 1614-7839 .
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.
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.
9780857293183
Engineering.
Operating systems (Computers).
Computer system performance.
Computer science.
System safety.
Telecommunication.
Engineering.
Quality Control, Reliability, Safety and Risk.
Performance and Reliability.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Communications Engineering, Networks.
System Performance and Evaluation.
Models and Principles.
658.56