Practical system reliability:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley [u.a.]
2009
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | XIII, 287 S. graph. Darst. |
Internformat
MARC
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| 300 | |a XIII, 287 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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Datensatz im Suchindex
| _version_ | 1804138361677414400 |
|---|---|
| adam_text | CONTENTS
Preface
xi
Acknowledgments
xiii
1
Introduction
1
2
System Availability
5
2.1
Availability, Service and Elements
6
2.2
Classical View
8
2.3
Customers View
9
2.4
Standards View
10
3
Conceptual Model of Reliability and Availability
15
3.1
Concept of Highly Available Systems
15
3.2
Conceptual Model of System Availability
17
3.3
Failures
19
3.4
Outage Resolution
23
3.5
Downtime Budgets
26
4
Why Availability Varies Between Customers
31
4.1
Causes of Variation in Outage Event Reporting
31
4.2
Causes of Variation in Outage Duration
33
5
Modeling Availability
37
5.1
Overview of Modeling Techniques
38
5.2
Modeling Definitions
58
5.3
Practical Modeling
69
5.4
Widget Example
78
5.5
Alignment with Industry Standards
89
6
Estimating Parameters and Availability from Field Data
95
6.1
Self-Maintaining Customers
96
6.2
Analyzing Field Outage Data
96
6.3
Analyzing Performance and Alarm Data
106
vii
VIII CONTENTS
6.4
Coverage Factor and Failure Rate
107
6.5
Uncovered Failure Recovery Time
108
6.6
Covered Failure Detection and Recovery Time
109
7
Estimating Input Parameters from Lab Data 111
7.1
Hardware Failure Rate 111
7.2
Software Failure Rate
114
7.3
Coverage Factors
129
7.4
Timing Parameters
130
7.5
System-Level Parameters
132
8
Estimating Input Parameters in the Architecture/Design Stage
137
8.1
Hardware Parameters
138
8.2
System-Level Parameters
146
8.3
Sensitivity Analysis
149
9
Prediction Accuracy
167
9.1
How Much Field Data Is Enough?
168
9.2
How Does One Measure Sampling and Prediction Errors?
172
9.3
What Causes Prediction Errors?
173
10
Connecting the Dots
177
10.1
Set Availability Requirements
179
10.2
Incorporate Architectural and Design Techniques
179
10.3
Modeling to Verify Feasibility
206
10.4
Testing
208
10.5
Update Availability Prediction
208
10.6
Periodic Field Validation and Model Update
208
10.7
Building an Availability Roadmap
209
10.8
Reliability Report
210
11
Summary
213
Appendix A System Reliability Report outline
216
1
Executive Summary
215
2
Reliability Requirements
217
3
Unplanned Downtime Model and Results
217
Annex A Reliability Definitions
219
Annex
В
References
219
Annex
С
Markov Model State-Transition Diagrams
220
Appendix
В
Reliability and Availability Theory
221
1
Reliability and Availability Definitions
221
2
Probability Distributions in Reliability Evaluation
228
3
Estimation of Confidence Intervals
237
CONTENTS
IX
Appendix C Software Reliability Growth Models
245
1
Software Characteristic Models
245
2
Nonhomogeneous
Poisson
Process Models
246
Appendix
D
Acronyms and Abbreviations
263
Appendix
E
Bibliography
265
Index
279
About the Authors
285
загп
how to model, predict, and manage system reliability/availabili
throughout the development life cycle
cepts presented here give readers a solid understanding of modeling and managing sys¬
tem and software availability and reliability through the development of real applications
and products. The modeling and prediction techniques and tools are customer-focused
and data-driven, and are also aligned with industry standards (Telcordia, TL
9000,
ISO,
etc.). Readers will
geta
clear understanding about what real-world reliability and avail¬
ability mean through step-by-step discussions of:
System availability
Conceptual model of reliability and availability
Why availability varies between customers
Modeling availability
Estimating parameters and availability from field data
Estimating input parameters from laboratory data
Estimating input parameters in the architecture/design stage
Prediction accuracy
Connecting the dots
This book can be used by system architects, engineers, and developers to better un¬
derstand and manage the reliability/availability of their products; quality engineers to
grasp how software and hardware quality relate to system availability; and engineering
students as part of a short course on system availability and software reliability.
is a manager of reliability engineering in Alcatel-Lucent s wireline business in Murray
lJ
■
Че
has designed, modeled, and analyzed reliability for many different products
architected and developed software for a variety of communications devices,
irincipal member of the technical staff in the Network Design and
lepartment at AT&T Labs. She has been working on reliability and per-
ormance analysis of wireline and wireless communications systems and networks. Her major
work and research areas are in system and architectural reliability and performance, product and
rformance modeling, and software reliability.
XUEMEI ZHANG. PhD,
DOUGLAS A. K1MBER
from Alcatel-Lucent as a staff reliability engineer. Throughout his
Technologies, and Alcatel-Lucent, he developed high reliability
platforms, applications, and systems, and then transitioned to reliability
,d reliability modeling and analysis.
|
| adam_txt |
CONTENTS
Preface
xi
Acknowledgments
xiii
1
Introduction
1
2
System Availability
5
2.1
Availability, Service and Elements
6
2.2
Classical View
8
2.3
Customers' View
9
2.4
Standards View
10
3
Conceptual Model of Reliability and Availability
15
3.1
Concept of Highly Available Systems
15
3.2
Conceptual Model of System Availability
17
3.3
Failures
19
3.4
Outage Resolution
23
3.5
Downtime Budgets
26
4
Why Availability Varies Between Customers
31
4.1
Causes of Variation in Outage Event Reporting
31
4.2
Causes of Variation in Outage Duration
33
5
Modeling Availability
37
5.1
Overview of Modeling Techniques
38
5.2
Modeling Definitions
58
5.3
Practical Modeling
69
5.4
Widget Example
78
5.5
Alignment with Industry Standards
89
6
Estimating Parameters and Availability from Field Data
95
6.1
Self-Maintaining Customers
96
6.2
Analyzing Field Outage Data
96
6.3
Analyzing Performance and Alarm Data
106
vii
VIII CONTENTS
6.4
Coverage Factor and Failure Rate
107
6.5
Uncovered Failure Recovery Time
108
6.6
Covered Failure Detection and Recovery Time
109
7
Estimating Input Parameters from Lab Data 111
7.1
Hardware Failure Rate 111
7.2
Software Failure Rate
114
7.3
Coverage Factors
129
7.4
Timing Parameters
130
7.5
System-Level Parameters
132
8
Estimating Input Parameters in the Architecture/Design Stage
137
8.1
Hardware Parameters
138
8.2
System-Level Parameters
146
8.3
Sensitivity Analysis
149
9
Prediction Accuracy
167
9.1
How Much Field Data Is Enough?
168
9.2
How Does One Measure Sampling and Prediction Errors?
172
9.3
What Causes Prediction Errors?
173
10
Connecting the Dots
177
10.1
Set Availability Requirements
179
10.2
Incorporate Architectural and Design Techniques
179
10.3
Modeling to Verify Feasibility
206
10.4
Testing
208
10.5
Update Availability Prediction
208
10.6
Periodic Field Validation and Model Update
208
10.7
Building an Availability Roadmap
209
10.8
Reliability Report
210
11
Summary
213
Appendix A System Reliability Report outline
216
1
Executive Summary
215
2
Reliability Requirements
217
3
Unplanned Downtime Model and Results
217
Annex A Reliability Definitions
219
Annex
В
References
219
Annex
С
Markov Model State-Transition Diagrams
220
Appendix
В
Reliability and Availability Theory
221
1
Reliability and Availability Definitions
221
2
Probability Distributions in Reliability Evaluation
228
3
Estimation of Confidence Intervals
237
CONTENTS
IX
Appendix C Software Reliability Growth Models
245
1
Software Characteristic Models
245
2
Nonhomogeneous
Poisson
Process Models
246
Appendix
D
Acronyms and Abbreviations
263
Appendix
E
Bibliography
265
Index
279
About the Authors
285
загп
how to model, predict, and manage system reliability/availabili
throughout the development life cycle
cepts presented here give readers a solid understanding of modeling and managing sys¬
tem and software availability and reliability through the development of real applications
and products. The modeling and prediction techniques and tools are customer-focused
and data-driven, and are also aligned with industry standards (Telcordia, TL
9000,
ISO,
etc.). Readers will
geta
clear understanding about what real-world reliability and avail¬
ability mean through step-by-step discussions of:
System availability
Conceptual model of reliability and availability
Why availability varies between customers
Modeling availability
Estimating parameters and availability from field data
Estimating input parameters from laboratory data
Estimating input parameters in the architecture/design stage
Prediction accuracy
Connecting the dots
This book can be used by system architects, engineers, and developers to better un¬
derstand and manage the reliability/availability of their products; quality engineers to
grasp how software and hardware quality relate to system availability; and engineering
students as part of a short course on system availability and software reliability.
is a manager of reliability engineering in Alcatel-Lucent's wireline business in Murray
lJ
' ■
Че
has designed, modeled, and analyzed reliability for many different products
architected and developed software for a variety of communications devices,
irincipal member of the technical staff in the Network Design and
lepartment at AT&T Labs. She has been working on reliability and per-
ormance analysis of wireline and wireless communications systems and networks. Her major
work and research areas are in system and architectural reliability and performance, product and
rformance modeling, and software reliability.
XUEMEI ZHANG. PhD,
DOUGLAS A. K1MBER
from Alcatel-Lucent as a staff reliability engineer. Throughout his
Technologies, and Alcatel-Lucent, he developed high reliability
platforms, applications, and systems, and then transitioned to reliability
,d reliability modeling and analysis. |
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| illustrated | Illustrated |
| index_date | 2024-07-02T22:59:41Z |
| indexdate | 2024-07-09T21:26:58Z |
| institution | BVB |
| language | English |
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| spelling | Bauer, Eric Verfasser (DE-588)1026373336 aut Practical system reliability Eric Bauer ; Xuemei Zhang ; Douglas A. Kimber Hoboken, NJ Wiley [u.a.] 2009 XIII, 287 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Reliability (Engineering) Software (DE-588)4055382-6 gnd rswk-swf Reliabilität (DE-588)4213628-3 gnd rswk-swf Technische Anlage (DE-588)4059220-0 gnd rswk-swf Reliabilität (DE-588)4213628-3 s Technische Anlage (DE-588)4059220-0 s Software (DE-588)4055382-6 s DE-604 Zhang, Xuemei Verfasser aut Kimber, Douglas A. Verfasser aut Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016992682&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016992682&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Bauer, Eric Zhang, Xuemei Kimber, Douglas A. Practical system reliability Reliability (Engineering) Software (DE-588)4055382-6 gnd Reliabilität (DE-588)4213628-3 gnd Technische Anlage (DE-588)4059220-0 gnd |
| subject_GND | (DE-588)4055382-6 (DE-588)4213628-3 (DE-588)4059220-0 |
| title | Practical system reliability |
| title_auth | Practical system reliability |
| title_exact_search | Practical system reliability |
| title_exact_search_txtP | Practical system reliability |
| title_full | Practical system reliability Eric Bauer ; Xuemei Zhang ; Douglas A. Kimber |
| title_fullStr | Practical system reliability Eric Bauer ; Xuemei Zhang ; Douglas A. Kimber |
| title_full_unstemmed | Practical system reliability Eric Bauer ; Xuemei Zhang ; Douglas A. Kimber |
| title_short | Practical system reliability |
| title_sort | practical system reliability |
| topic | Reliability (Engineering) Software (DE-588)4055382-6 gnd Reliabilität (DE-588)4213628-3 gnd Technische Anlage (DE-588)4059220-0 gnd |
| topic_facet | Reliability (Engineering) Software Reliabilität Technische Anlage |
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