Service Quality of Cloud-Based Applications by Eric Bauer

By Eric Bauer

This ebook explains why functions working on cloud will possibly not bring a similar provider reliability, availability, latency and total caliber to finish clients as they do while the functions are working on conventional (non-virtualized, non-cloud) configurations, and explains what will be performed to mitigate that risk.Content:
Chapter 1 advent (pages 1–5):
Chapter 2 software provider caliber (pages 9–28):
Chapter three Cloud version (pages 29–47):
Chapter four Virtualized Infrastructure Impairments (pages 49–63):
Chapter five software Redundancy and Cloud Computing (pages 67–95):
Chapter 6 Load Distribution and Balancing (pages 97–109):
Chapter 7 Failure Containment (pages 111–125):
Chapter eight potential administration (pages 127–143):
Chapter nine unencumber administration (pages 145–161):
Chapter 10 End‐to‐End issues (pages 163–189):
Chapter eleven Accountabilities for carrier caliber (pages 193–212):
Chapter 12 provider Availability size (pages 213–231):
Chapter thirteen software provider caliber specifications (pages 233–241):
Chapter 14 Virtualized Infrastructure size and administration (pages 243–254):
Chapter 15 research of Cloud‐Based functions (pages 255–272):
Chapter sixteen checking out issues (pages 273–286):
Chapter 17 Connecting the Dots (pages 287–301):

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6, the robustness of an application’s architecture charac­ terizes how effectively the application can maintain quality across the application’s customer facing service boundary despite impairments experienced across the resource facing service boundary and failures within the application itself. 5. Application Consumer and Resource Facing Service Indicators. 6. Application Robustness. 3, “Nondelivery of Configured VM Capacity”), then is the application’s customer facing service impacted? Do some or all user operations take hundreds of milliseconds longer to complete, or do some (or all) operations fail due to timeout expiration?

Resources that are held locally offer better performance than resources held in a nearby data center, and resources held in a nearby data center generally are accessible with lower latency than resources held in data centers on distant continents. • Network Bandwidth. As all web users know, web pages load slower over lower bandwidth network connections; DSL is better than dialup, and fiber to the home is better than DSL. Likewise, insufficient network bandwidth between resources in the cloud—as well as insufficient access bandwidth to users—causes service latency to increase.

Problems are typically resolved by correcting the true root cause(s), such as installing a software patch that corrects a residual defect that escaped into production software. Industry practices and supplier policies will dictate exactly when a problem is considered resolved, such as upon a patch or fix being scheduled for delivery, or a patch or fix actually being delivered, or a patch or fix actually being installed and verified in the production environment. Only aspects of support service that directly relate to addressing technical service quality outages and impairments are considered in this work.

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