Eric Bauer, Randee Adams, Daniel Eustace

Beyond Redundancy (eBook, PDF)

How Geographic Redundancy Can Improve Service Availability and Reliability of Computer-Based Systems

• Format: PDF

Produktbeschreibung

While geographic redundancy can obviously be a huge benefit for disaster recovery, it is far less obvious what benefit is feasible and likely for more typical non-catastrophic hardware, software, and human failures. Georedundancy and Service Availability provides both a theoretical and practical treatment of the feasible and likely benefits of geographic redundancy for both service availability and service reliability. The text provides network/system planners, IS/IT operations folks, system architects, system engineers, developers, testers, and other industry practitioners with a general discussion about the capital expense/operating expense tradeoff that frames system redundancy and georedundancy.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 330
• Erscheinungstermin: 23. September 2011
• Englisch
• ISBN-13: 9781118104927
• Artikelnr.: 37356904

Autorenporträt

Eric Bauer is Reliability Engineering Manager in the IMS Solutions Organization of Alcatel-Lucent, where he focuses on reliability of Alcatel-Lucent's IMS solution and the network elements that comprise the IMS solution. He has written Design for Reliability: Information and Computer-Based Systems and Practical System Reliability. Randee Adams is a Consulting Member of Technical Staff in the Applications Group of Alcatel-Lucent. Currently, she is focusing on reliability for Alcatel-Lucent's software applications. Daniel Eustace is a Distinguished Member of Technical Staff in the IMS Solutions Organization of Alcatel-Lucent. Currently, he is a solution architect focusing on reliability, key quality indicators, geographical redundancy, and call processing.

Inhaltsangabe

Figures xv
Tables xix
Equations xxi
Preface and Acknowledgments xxiii
Audience xxiv
Organization xxiv
Acknowledgments xxvi
PART 1 BASICS 1
1 SERVICE, RISK, AND BUSINESS CONTINUITY 3
1.1 Service Criticality and Availability Expectations 3
1.2 The Eight-Ingredient Model 4
1.3 Catastrophic Failures and Geographic Redundancy 7
1.4 Geographically Separated Recovery Site 11
1.5 Managing Risk 12
1.6 Business Continuity Planning 14
1.7 Disaster Recovery Planning 15
1.8 Human Factors 17
1.9 Recovery Objectives 17
1.10 Disaster Recovery Strategies 18
2 SERVICE AVAILABILITY AND SERVICE RELIABILITY 20
2.1 Availability and Reliability 20
2.2 Measuring Service Availability 25
2.3 Measuring Service Reliability 33
PART 2 MODELING AND ANALYSIS OF REDUNDANCY 35
3 UNDERSTANDING REDUNDANCY 37
3.1 Types of Redundancy 37
3.2 Modeling Availability of Internal Redundancy 44
3.3 Evaluating High-Availability Mechanisms 52
4 OVERVIEW OF EXTERNAL REDUNDANCY 59
4.1 Generic External Redundancy Model 59
4.2 Technical Distinctions between Georedundancy and Co-Located Redundancy
74
4.3 Manual Graceful Switchover and Switchback 75
5 EXTERNAL REDUNDANCY STRATEGY OPTIONS 77
5.1 Redundancy Strategies 77
5.2 Data Recovery Strategies 79
5.3 External Recovery Strategies 80
5.4 Manually Controlled Recovery 81
5.5 System-Driven Recovery 83
5.6 Client-Initiated Recovery 85
6 MODELING SERVICE AVAILABILITY WITH EXTERNAL SYSTEM REDUNDANCY 98
6.1 The Simplistic Answer 98
6.2 Framing Service Availability of Standalone Systems 99
6.3 Generic Markov Availability Model of Georedundant Recovery 103
6.4 Solving the Generic Georedundancy Model 115
6.5 Practical Modeling of Georedundancy 121
6.6 Estimating Availability Benefit for Planned Activities 130
6.7 Estimating Availability Benefit for Disasters 131
7 UNDERSTANDING RECOVERY TIMING PARAMETERS 133
7.1 Detecting Implicit Failures 134
7.2 Understanding and Optimizing RTO 141
8 CASE STUDY OF CLIENT-INITIATED RECOVERY 147
8.1 Overview of DNS 147
8.2 Mapping DNS onto Practical Client-Initiated Recovery Model 148
8.3 Estimating Input Parameters 154
8.4 Predicted Results 165
8.5 Discussion of Predicted Results 172
9 SOLUTION AND CLUSTER RECOVERY 174
9.1 Understanding Solutions 174
9.2 Estimating Solution Availability 177
9.3 Cluster versus Element Recovery 179
9.4 Element Failure and Cluster Recovery Case Study 182
9.5 Comparing Element and Cluster Recovery 186
9.6 Modeling Cluster Recovery 187
PART 3 RECOMMENDATIONS 201
10 GEOREDUNDANCY STRATEGY 203
10.1 Why Support Multiple Sites? 203
10.2 Recovery Realms 204
10.3 Recovery Strategies 206
10.4 Limp-Along Architectures 207
10.5 Site Redundancy Options 208
10.6 Virtualization, Cloud Computing, and Standby Sites 216
10.7 Recommended Design Methodology 217
11 MAXIMIZING SERVICE AVAILABILITY VIA GEOREDUNDANCY 219
11.1 Theoretically Optimal External Redundancy 219
11.2 Practically Optimal Recovery Strategies 220
11.3 Other Considerations 228
12 GEOREDUNDANCY REQUIREMENTS 230
12.1 Internal Redundancy Requirements 230
12.2 External Redundancy Requirements 233
12.3 Manually Controlled Redundancy Requirements 235
12.4 Automatic External Recovery Requirements 237
12.5 Operational Requirements 242
13 GEOREDUNDANCY TESTING 243
13.1 Georedundancy Testing Strategy 243
13.2 Test Cases for External Redundancy 246
13.3 Verifying Georedundancy Requirements 247
13.4 Summary 254
14 SOLUTION GEOREDUNDANCY CASE STUDY 256
14.1 The Hypothetical Solution 256
14.2 Standalone Solution Analysis 259
14.3 Georedundant Solution Analysis 263
14.4 Availability of the Georedundant Solution 269
14.5 Requirements of Hypothetical Solution 269
14.6 Testing of Hypothetical Solution 277
Summary 285
Appendix: Markov Modeling of Service Availability 292
Acronyms 296
References 298
About the Authors 300
Index 302