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Reliability and Availability of Cloud Computing

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ISBN-10: 1118177010

ISBN-13: 9781118177013

Edition: 2012

Authors: Eric Bauer, Randee Adams

List price: $122.95
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This book addresses IS/IT architects, developers, program managers, product managers, and quality managers who are considering or responsible for applications that will be virtualized or deployed on a cloud. Topics covered include reliability risks, meeting customer's expectations, and how to maximize service availability and reliability of virtualized and cloud-based deployments. Working from first principles, this book considers the impact on virtualization and cloud computing in terms of both what design for reliability diligence is most appropriate, and how best to leverage virtualization and cloud to best assure market expectations.
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Book details

List price: $122.95
Copyright year: 2012
Publisher: John Wiley & Sons, Incorporated
Publication date: 8/14/2012
Binding: Hardcover
Pages: 352
Size: 6.40" wide x 9.55" long x 1.05" tall
Weight: 1.540

Cloud Computing
Essential Cloud Characteristics
Common Cloud Characteristics
But What, Exactly, Is Cloud Computing?
Service Models
Cloud Deployment Models
Roles in Cloud Computing
Benefi ts of Cloud Computing
Risks of Cloud Computing
What Is Virtualization?
Server Virtualization
VM Lifecycle
Reliability and Availability Risks of Virtualization
Service Reliability and Service Availability
Errors and Failures
Eight-Ingredient Framework
Service Availability
Service Reliability
Service Latency
Redundancy and High Availability
High Availability and Disaster Recovery
Streaming Services
Reliability and Availability Risks of Cloud Computing
Analyzing Cloud Reliability and Availability
Expectations for Service Reliability and Availability
Risks of Essential Cloud Characteristics
Impacts of Common Cloud Characteristics
Risks of Service Models
IT Service Management and Availability Risks
Outage Risks by Process Area
Failure Detection Considerations
Risks of Deployment Models
Expectations of IaaS Data Centers
Reliability Analysis of Virtualization
Reliability Analysis Techniques
Reliability Analysis of Virtualization Techniques
Software Failure Rate Analysis
Recovery Models
Application Architecture Strategies
Availability Modeling of Virtualized Recovery Options
Hardware Reliability, Virtualization, and Service Availability
Hardware Downtime Expectations
Hardware Failures
Hardware Failure Rate
Hardware Failure Detection
Hardware Failure Containment
Hardware Failure Mitigation
Mitigating Hardware Failures via Virtualization
Virtualized Networks
MTTR of Virtualized Hardware
Capacity and Elasticity
System Load Basics
Overload, Service Reliability, and Service Availability
Traditional Capacity Planning
Cloud and Capacity
Managing Online Capacity
Capacity-Related Service Risks
Capacity Management Risks
Security and Service Availability
Architecting for Elastic Growth and Degrowth
Service Orchestration Analysis
Service Orchestration Definition
Policy-Based Management
Cloud Management
Service Orchestration�s Role in Risk Mitigation
Geographic Distribution, Georedundancy, and Disaster Recovery
Geographic Distribution versus Georedundancy
Traditional Disaster Recovery
Virtualization and Disaster Recovery
Cloud Computing and Disaster Recovery
Georedundancy Recovery Models
Cloud and Traditional Collateral Benefits of Georedundancy
Applications, Solutions, and Accountability
Application Configuration Scenarios
Application Deployment Scenario
System Downtime Budgets
End-to-End Solutions Considerations
Attributability for Service Impairments
Solution Service Measurement
Managing Reliability and Service of Cloud Computing
Recommendations for Architecting a Reliable System
Architecting for Virtualization and Cloud
Disaster Recovery
IT Service Management Considerations
Many Distributed Clouds versus Fewer Huge Clouds
Minimizing Hardware-Attributed Downtime
Architectural Optimizations
Design for Reliability of Virtualized Applications
Design for Reliability
Tailoring DfR for Virtualized Applications
Reliability Requirements
Qualitative Reliability Analysis
Quantitative Reliability Budgeting and Modeling
Robustness Testing
Stability Testing
Field Performance Analysis
Reliability Roadmap
Hardware Reliability
Design for Reliability of Cloud Solutions
Solution Design for Reliability
Solution Scope and Expectations
Reliability Requirements
Solution Modeling and Analysis
Element Reliability Diligence
Solution Testing and Validation
Track and Analyze Field Performance
Other Solution Reliability Diligence Topics
Service Reliability and Service Availability
Failure Accountability and Cloud Computing
Factoring Service Downtime
Service Availability Measurement Points
Cloud Capacity and Elasticity Considerations
Maximizing Service Availability
Reliability Diligence
Concluding Remarks
About the authors