Design for Reliability: Information and Computer-Based by Eric Bauer

By Eric Bauer

Approach reliability, availability and robustness are frequently no longer good understood via method architects, engineers and builders. they typically do not comprehend what drives customer's availability expectancies, tips on how to body verifiable availability/robustness requisites, find out how to deal with and price range availability/robustness, easy methods to methodically architect and layout platforms that meet robustness standards, etc. The ebook takes a truly pragmatic procedure of framing reliability and robustness as a useful element of a method 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 strategies (pages 1–29):
Chapter 2 method 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 rules (pages 99–130):
Chapter 6 blunders Detection (pages 131–144):
Chapter 7 studying and Modeling Reliability and Robustness (pages 145–168):
Chapter eight Reliability necessities (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 last 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

Sample text

Give three examples of a failure cascade. 3. One 30-minute total outage and one 10-minute partial outage impacting half of a system’s capacity occur across a population of 15 systems deployed in August; what is the service availability for the month? 4. What is the difference between MTBF and designed service life of hardware? 5. A particular FRU is predicted to have 10,000 FITs. What percentage of these FRUs is likely to fail per year during the unit’s designed service life? 6. A system is built of five FRUs, each with 10,000 FITs.

Depending on operational policies of enterprises operating the system and their support agreements with the system supplier, some or all of those failures may be reported back to the system supplier for analysis and corrective action. Thus, while a system supplier may never know exactly how many residual critical software defects were in a piece of software released to the field, the supplier often knows the minimum number of residual critical defects that were present based on what defects were subsequently detected by customers or while developing and testing maintenance releases or patches.

8 Hardware Reliability 21 as the logistics and delivery process is being refined and spares pools are created. 3. Uncertainty of in-service time of individual returned FRUs. Because complex systems are generally built from many different FRUs and systems cannot go into service until all required FRUs are available on-site, installed, configured, and brought into service, variable logistic and business delays add uncertainty between the time a FRU was shipped by the hardware supplier and the time the FRU begins normal, continuous operation.

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