Dependability of Networked Computer-based Systems [electronic resource] / by Ajit Kumar Verma, Srividya Ajit, Manoj Kumar.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 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 23
- TA169.7
- T55-T55.3
- TA403.6
Item type | Current library | Call number | Status | Date due | Barcode | |
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Central Library | Available | E-38274 |
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.
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