By Eric Bauer
Procedure reliability, availability and robustness are frequently no longer good understood through approach architects, engineers and builders. they generally do not comprehend what drives customer's availability expectancies, how you can body verifiable availability/robustness standards, how you can deal with and price range availability/robustness, how you can methodically architect and layout structures that meet robustness specifications, etc. The ebook takes a really pragmatic method of framing reliability and robustness as a practical point of a procedure in order that architects, designers, builders and testers can deal with it as a concrete, practical characteristic of a process, instead of an summary, non-functional notion.Content:
Chapter 1 Reliability and Availability thoughts (pages 1–29):
Chapter 2 procedure fundamentals (pages 31–56):
Chapter three What can get it wrong (pages 57–81):
Chapter four Failure Containment and Redundancy (pages 83–97):
Chapter five strong layout ideas (pages 99–130):
Chapter 6 errors Detection (pages 131–144):
Chapter 7 interpreting and Modeling Reliability and Robustness (pages 145–168):
Chapter eight Reliability standards (pages 169–183):
Chapter nine Reliability research (pages 185–206):
Chapter 10 Reliability Budgeting and Modeling (pages 207–218):
Chapter eleven Robustness and balance checking out (pages 219–243):
Chapter 12 remaining the Loop (pages 245–261):
Chapter thirteen layout for Reliability Case research (pages 263–294):
Chapter 14 end (pages 295–300):
Chapter 15 Appendix: Assessing layout for Reliability Diligence (pages 301–314):
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Extra info for Design for Reliability: Information and Computer-Based Systems
It is very easy for hardware suppliers to count how many FRUs are shipped from their factory, but it is not very easy to know how many FRUs are actually in service. There is always a delay between the time an FRU is shipped from a factory to the time that the FRU is installed in a system and powered on. Some individual FRUs will be promptly delivered to customer sites, installed and powered on; other FRUs will endure logistics or staging delays; some FRUs will be stocked as spares, and may not be installed for years; some FRUs may never even be sold.
The FRU can be incorrectly configured. indd 41 8/5/2010 4:33:28 PM 42 Chapter 2 System Basics • The FRU can be nonfunctional (often called an “out-of-the-box failure”). • The FRU boot code can fail to start up or load latest platform and/ or application software. • The persistent storage on an FRU can fail to be configured or restored properly. • Hardware growth. Traffic on systems often grows over time, and may grow very rapidly if the service supported by the system quickly becomes popular.
Normalizing defect discovery against cumulative testing time should factor real world variations out of the data, and thus produce a more accurate curve that is easier to interpret. A practical benefit of plotting cumulative test time on the X-axis is that it makes planning easier because one can directly estimate the test effort required between any two points on the curve. 3 Estimating Residual Defects The number of residual defects can be estimated using a number of software quality methodologies, including [Demarco86], [Humphrey89], [Lyu96], or [Musa89].