Service Quality of Cloud-Based Applications by Eric Bauer

By Eric Bauer

This publication explains why functions working on cloud would possibly not bring an identical provider reliability, availability, latency and total caliber to finish clients as they do while the purposes are working on conventional (non-virtualized, non-cloud) configurations, and explains what will be performed to mitigate that risk.Content:
Chapter 1 creation (pages 1–5):
Chapter 2 program carrier caliber (pages 9–28):
Chapter three Cloud version (pages 29–47):
Chapter four Virtualized Infrastructure Impairments (pages 49–63):
Chapter five program 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 unlock administration (pages 145–161):
Chapter 10 End‐to‐End concerns (pages 163–189):
Chapter eleven Accountabilities for carrier caliber (pages 193–212):
Chapter 12 carrier Availability dimension (pages 213–231):
Chapter thirteen program provider caliber necessities (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 trying out concerns (pages 273–286):
Chapter 17 Connecting the Dots (pages 287–301):

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Extra info for Service Quality of Cloud-Based Applications

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0. Organization of Part I: Context. &ORXG &RQVXPHU &ORXG 6HUYLFH 3URYLGHU 2 APPLICATION SERVICE QUALITY This section considers the service offered by applications to end users and the metrics used to characterize the quality of that service. A handful of common service quality metrics that characterize application service quality are detailed. These user service key quality indicators (KQIs) are considered in depth in Part II: Analysis. 1 illustrates a simple cloud-based application with a pool of frontend components distributing work across a pool of backend components.

Chapter 8, “Capacity Management,” considers how the errors and failures encountered while managing the application capacity online can lead to insufficient capacity being provided to serve the offered workload with acceptable service quality. 4 SIMPLIFIED CLOUD ARCHITECTURE PaaS is inherently less well-defined than either IaaS (at the bottom of the cloud service model stack) or SaaS (at the top of the cloud service model stack). 5). 3 illustrates how the first four simplified component types interact.

1) 2. 2) 3. 3) 4. 4) 5. 5). The highest level application service quality risk of each essential characteristic is considered separately. 1 On-Demand Self-Service On-demand self-service is defined as “a consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider” [SP800-145]. On-demand selfservice enables cloud-based applications to be vastly more dynamic than traditional applications because new resources can be allocated and deallocated on-the-fly by cloud consumers.

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