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Author:   Eric Bauer (Alcatel-Lucent Reliability) ,  Randee Adams
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-IEEE Press
Dimensions:   Width: 16.30cm , Height: 2.70cm , Length: 24.30cm
Weight:   0.708kg
ISBN:  

9781118177013

ISBN 10:   1118177010
Pages:   352
Publication Date:   04 September 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Figures xvii Tables xxi Equations xxiii Introduction xxv I BASICS 1 1 CLOUD COMPUTING 3 1.1 Essential Cloud Characteristics 4 1.2 Common Cloud Characteristics 6 1.3 But What, Exactly, Is Cloud Computing? 7 1.4 Service Models 9 1.5 Cloud Deployment Models 11 1.6 Roles in Cloud Computing 12 1.7 Benefi ts of Cloud Computing 14 1.8 Risks of Cloud Computing 15 2 VIRTUALIZATION 16 2.1 Background 16 2.2 What Is Virtualization? 17 2.3 Server Virtualization 19 2.4 VM Lifecycle 23 2.5 Reliability and Availability Risks of Virtualization 28 3 SERVICE RELIABILITY AND SERVICE AVAILABILITY 29 3.1 Errors and Failures 30 3.2 Eight-Ingredient Framework 31 3.3 Service Availability 34 3.4 Service Reliability 43 3.5 Service Latency 46 3.6 Redundancy and High Availability 50 3.7 High Availability and Disaster Recovery 56 3.8 Streaming Services 58 3.9 Reliability and Availability Risks of Cloud Computing 62 II ANALYSIS 63 4 ANALYZING CLOUD RELIABILITY AND AVAILABILITY 65 4.1 Expectations for Service Reliability and Availability 65 4.2 Risks of Essential Cloud Characteristics 66 4.3 Impacts of Common Cloud Characteristics 70 4.4 Risks of Service Models 72 4.5 IT Service Management and Availability Risks 74 4.6 Outage Risks by Process Area 80 4.7 Failure Detection Considerations 83 4.8 Risks of Deployment Models 87 4.9 Expectations of IaaS Data Centers 87 5 RELIABILITY ANALYSIS OF VIRTUALIZATION 90 5.1 Reliability Analysis Techniques 90 5.2 Reliability Analysis of Virtualization Techniques 95 5.3 Software Failure Rate Analysis 100 5.4 Recovery Models 101 5.5 Application Architecture Strategies 108 5.6 Availability Modeling of Virtualized Recovery Options 110 6 HARDWARE RELIABILITY, VIRTUALIZATION, AND SERVICE AVAILABILITY 116 6.1 Hardware Downtime Expectations 116 6.2 Hardware Failures 117 6.3 Hardware Failure Rate 119 6.4 Hardware Failure Detection 121 6.5 Hardware Failure Containment 122 6.6 Hardware Failure Mitigation 122 6.7 Mitigating Hardware Failures via Virtualization 124 6.8 Virtualized Networks 127 6.9 MTTR of Virtualized Hardware 129 6.10 Discussion 131 7 CAPACITY AND ELASTICITY 132 7.1 System Load Basics 132 7.2 Overload, Service Reliability, and Service Availability 135 7.3 Traditional Capacity Planning 136 7.4 Cloud and Capacity 137 7.5 Managing Online Capacity 144 7.6 Capacity-Related Service Risks 147 7.7 Capacity Management Risks 153 7.8 Security and Service Availability 157 7.9 Architecting for Elastic Growth and Degrowth 162 8 SERVICE ORCHESTRATION ANALYSIS 164 8.1 Service Orchestration Definition 164 8.2 Policy-Based Management 166 8.3 Cloud Management 168 8.4 Service Orchestration’s Role in Risk Mitigation 169 9 GEOGRAPHIC DISTRIBUTION, GEOREDUNDANCY, AND DISASTER RECOVERY 174 9.1 Geographic Distribution versus Georedundancy 175 9.2 Traditional Disaster Recovery 175 9.3 Virtualization and Disaster Recovery 177 9.4 Cloud Computing and Disaster Recovery 178 9.5 Georedundancy Recovery Models 180 9.6 Cloud and Traditional Collateral Benefits of Georedundancy 180 9.7 Discussion 182 III RECOMMENDATIONS 183 10 APPLICATIONS, SOLUTIONS, AND ACCOUNTABILITY 185 10.1 Application Configuration Scenarios 185 10.2 Application Deployment Scenario 187 10.3 System Downtime Budgets 188 10.4 End-to-End Solutions Considerations 197 10.5 Attributability for Service Impairments 201 10.6 Solution Service Measurement 204 10.7 Managing Reliability and Service of Cloud Computing 207 11 RECOMMENDATIONS FOR ARCHITECTING A RELIABLE SYSTEM 209 11.1 Architecting for Virtualization and Cloud 209 11.2 Disaster Recovery 216 11.3 IT Service Management Considerations 217 11.4 Many Distributed Clouds versus Fewer Huge Clouds 224 11.5 Minimizing Hardware-Attributed Downtime 225 11.6 Architectural Optimizations 231 12 DESIGN FOR RELIABILITY OF VIRTUALIZED APPLICATIONS 244 12.1 Design for Reliability 244 12.2 Tailoring DfR for Virtualized Applications 246 12.3 Reliability Requirements 248 12.4 Qualitative Reliability Analysis 256 12.5 Quantitative Reliability Budgeting and Modeling 259 12.6 Robustness Testing 260 12.7 Stability Testing 267 12.8 Field Performance Analysis 268 12.9 Reliability Roadmap 269 12.10 Hardware Reliability 270 13 DESIGN FOR RELIABILITY OF CLOUD SOLUTIONS 271 13.1 Solution Design for Reliability 271 13.2 Solution Scope and Expectations 273 13.3 Reliability Requirements 275 13.4 Solution Modeling and Analysis 279 13.5 Element Reliability Diligence 285 13.6 Solution Testing and Validation 285 13.7 Track and Analyze Field Performance 288 13.8 Other Solution Reliability Diligence Topics 292 14 SUMMARY 296 14.1 Service Reliability and Service Availability 297 14.2 Failure Accountability and Cloud Computing 299 14.3 Factoring Service Downtime 301 14.4 Service Availability Measurement Points 303 14.5 Cloud Capacity and Elasticity Considerations 306 14.6 Maximizing Service Availability 306 14.7 Reliability Diligence 309 14.8 Concluding Remarks 310 Abbreviations 311 References 314 About the Authors 318 Index 319

Reviews

Therefore, it will probably only be of real interest to those who are directly involved in improving or implementing their own systems in a cloud platform. ( Computing Reviews , 30 November 2012)

For sure, specialists responsible for recommending, providing, or managing cloud platforms for either private or public cloud will profit with having this work on their shelf. I would also like to highly recommend this position for people new to the considered concepts of cloud computing or computer systems reliability as it provides an excellent background for the both areas. ( IEEE Communications Magazine , 1 October 2013) Therefore, it will probably only be of real interest to those who are directly involved in improving or implementing their own systems in a cloud platform. ( Computing Reviews , 30 November 2012)

Author Information

ERIC BAUER is a reliability engineering manager in the Software, Solutions and Services Group of Alcatel-Lucent. The holder of more than a dozen U.S. patents, he is the author of Design for Reliability: Information and Computer-Based Systems, Beyond Redundancy: How Geographic Redundancy Can Improve Service Availability and Reliability of Computer-Based Systems, and Practical System Reliability, also available from Wiley-IEEE Press. RANDEE ADAMS is a consulting member of technical staff in the Software, Solutions and Services Group of Alcatel-Lucent and the coauthor of Beyond Redundancy: How Geographic Redundancy Can Improve Service Availability and Reliability of Computer-Based Systems.

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