| Description |
1 online resource |
| Contents |
Cover; IEEE Press; Title page; Copyright page; Contents; Figures; Tables and Equations; Tables; Equations; 1: Introduction; 1.1 Approach; 1.2 Target Audience; 1.3 Organization; Acknowledgments; I: Context; 2: Application Service Quality; 2.1 Simple Application Model; 2.2 Service Boundaries; 2.3 Key Quality and Performance Indicators; 2.4 Key Application Characteristics; 2.4.1 Service Criticality; 2.4.2 Application Interactivity; 2.4.3 Tolerance to Network Traffic Impairments; 2.5 Application Service Quality Metrics; 2.5.1 Service Availability; 2.5.2 Service Latency; 2.5.3 Service Reliability |
|
2.5.4 Service Accessibility2.5.5 Service Retainability; 2.5.6 Service Throughput; 2.5.7 Service Timestamp Accuracy; 2.5.8 Application-Specific Service Quality Measurements; 2.6 Technical Service versus Support Service; 2.6.1 Technical Service Quality; 2.6.2 Support Service Quality; 2.7 Security Considerations; 3: Cloud Model; 3.1 Roles in Cloud Computing; 3.2 Cloud Service Models; 3.3 Cloud Essential Characteristics; 3.3.1 On-Demand Self-Service; 3.3.2 Broad Network Access; 3.3.3 Resource Pooling; 3.3.4 Rapid Elasticity; 3.3.5 Measured Service; 3.4 Simplified Cloud Architecture |
|
3.4.1 Application Software3.4.2 Virtual Machine Servers; 3.4.3 Virtual Machine Server Controllers; 3.4.4 Cloud Operations Support Systems; 3.4.5 Cloud Technology Components Offered "as-a-Service"; 3.5 Elasticity Measurements; 3.5.1 Density; 3.5.2 Provisioning Interval; 3.5.3 Release Interval; 3.5.4 Scaling In and Out; 3.5.5 Scaling Up and Down; 3.5.6 Agility; 3.5.7 Slew Rate and Linearity; 3.5.8 Elasticity Speedup; 3.6 Regions and Zones; 3.7 Cloud Awareness; 4: Virtualized Infrastructure Impairments; 4.1 Service Latency, Virtualization, and the Cloud |
|
4.1.1 Virtualization and Cloud Causes of Latency Variation4.1.2 Virtualization Overhead; 4.1.3 Increased Variability of Infrastructure Performance; 4.2 VM Failure; 4.3 Nondelivery of Configured VM Capacity; 4.4 Delivery of Degraded VM Capacity; 4.5 Tail Latency; 4.6 Clock Event Jitter; 4.7 Clock Drift; 4.8 Failed or Slow Allocation and Startup of VM Instance; 4.9 Outlook for Virtualized Infrastructure Impairments; II: Analysis; 5: Application Redundancy and Cloud Computing; 5.1 Failures, Availability, and Simplex Architectures; 5.2 Improving Software Repair Times via Virtualization |
|
5.3 Improving Infrastructure Repair Times via Virtualization5.3.1 Understanding Hardware Repair; 5.3.2 VM Repair-as-a-Service; 5.3.3 Discussion; 5.4 Redundancy and Recoverability; 5.4.1 Improving Recovery Times via Virtualization; 5.5 Sequential Redundancy and Concurrent Redundancy; 5.5.1 Hybrid Concurrent Strategy; 5.6 Application Service Impact of Virtualization Impairments; 5.6.1 Service Impact for Simplex Architectures; 5.6.2 Service Impact for Sequential Redundancy Architectures; 5.6.3 Service Impact for Concurrent Redundancy Architectures |
| Summary |
This book explains why applications running on cloud might not deliver the same service reliability, availability, latency and overall quality to end users as they do when the applications are running on traditional (non-virtualized, non-cloud) configurations, and explains what can be done to mitigate that risk |
| Bibliography |
Includes bibliographical referencse and index |
| Notes |
Print version record and CIP data provided by publisher |
| Subject |
Cloud computing.
|
|
Application software -- Reliability
|
|
Quality of service (Computer networks)
|
|
COMPUTERS -- Computer Literacy.
|
|
COMPUTERS -- Computer Science.
|
|
COMPUTERS -- Data Processing.
|
|
COMPUTERS -- Hardware -- General.
|
|
COMPUTERS -- Information Technology.
|
|
COMPUTERS -- Machine Theory.
|
|
COMPUTERS -- Reference.
|
|
Cloud computing
|
|
Quality of service (Computer networks)
|
| Form |
Electronic book
|
| Author |
Adams, Randee
|
| LC no. |
2013028063 |
| ISBN |
9781118763285 |
|
1118763289 |
|
9781118763391 |
|
1118763394 |
|
9781118763407 |
|
1118763408 |
|
1118763297 |
|
9781118763292 |
|
