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Dimension of Quality
In
Cloud Database Services
BY : IMARAN KHAN
http://www.fotolia.com/id/44713013
Cloud Database Service is a model for building scalable and highly available Services on top of an elastic
pool of geo-located configurable resources.
In cloud database services quality is measured in terms
 High Performance
 High Availability
 Elastic Scalability
What is Quality in Cloud Database Services
The System that provides this service must hence, be designed and managed in way
to achieve these quality objectives.
http://www.cleardb.com/blog/entry?id=pro-series/segment-101/why-use-a-database-as-a-service-instead-of-do-it-yourself-mysql-in-the-cloud
Performance
Features
Conformance
Dimensions of Quality
Reliability
All Rights Reserved. Copyright @ 2014 Canopus Business Management Group 3
Performance is typically measured in terms of throughput and request response time
Features are measured in the form of Secure accessibility, Scalability and high
availability
This service is wide spread across different regions. This service should follow all
compliances and audit management as according to the land.
A typical reliability metric is the expected failure rate, i.e., the expected number of
failures in a give time period. It depends on hardware, software and other factors.
Experience
Aesthetics
Dimensions of Quality
Durability
Service
All Rights Reserved. Copyright @ 2014 Canopus Business Management Group 4
Experience play a vital role in providing this mission critical and 100% up-time all the
time. The provider should have experience. Some of the provides are like amazon,
Google and Microsoft. These players are in this area after being in software for decades
Service could be measures with a variety of metrics for example speed-up, size-up and scale-up
Aesthetics is in the form of database design process. Creating a system with visual design
Should provide highly durable and highly available storage service. Durability can be increased by
replicating data across multiple failure-isolated servers.

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Dimension of quality in Cloud Database Services

  • 1. Dimension of Quality In Cloud Database Services BY : IMARAN KHAN http://www.fotolia.com/id/44713013
  • 2. Cloud Database Service is a model for building scalable and highly available Services on top of an elastic pool of geo-located configurable resources. In cloud database services quality is measured in terms  High Performance  High Availability  Elastic Scalability What is Quality in Cloud Database Services The System that provides this service must hence, be designed and managed in way to achieve these quality objectives. http://www.cleardb.com/blog/entry?id=pro-series/segment-101/why-use-a-database-as-a-service-instead-of-do-it-yourself-mysql-in-the-cloud
  • 3. Performance Features Conformance Dimensions of Quality Reliability All Rights Reserved. Copyright @ 2014 Canopus Business Management Group 3 Performance is typically measured in terms of throughput and request response time Features are measured in the form of Secure accessibility, Scalability and high availability This service is wide spread across different regions. This service should follow all compliances and audit management as according to the land. A typical reliability metric is the expected failure rate, i.e., the expected number of failures in a give time period. It depends on hardware, software and other factors.
  • 4. Experience Aesthetics Dimensions of Quality Durability Service All Rights Reserved. Copyright @ 2014 Canopus Business Management Group 4 Experience play a vital role in providing this mission critical and 100% up-time all the time. The provider should have experience. Some of the provides are like amazon, Google and Microsoft. These players are in this area after being in software for decades Service could be measures with a variety of metrics for example speed-up, size-up and scale-up Aesthetics is in the form of database design process. Creating a system with visual design Should provide highly durable and highly available storage service. Durability can be increased by replicating data across multiple failure-isolated servers.