COMPUTER SCIENCE AND ENGINEERING
CLOUD COMPUTING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Resources are provisioned and released on-demand
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Resources are stretched to capacity
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Resources are paid for by use
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Resources are scalable
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Detailed explanation-1: -Rapid elasticity. The capabilities available to users can be provisioned elastically and released when no longer needed, in some cases automatically. This allows rapid scaling, up or down, according to current demand.
Detailed explanation-2: -Definition(s): Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be appropriated in any quantity at any time.
Detailed explanation-3: -Public cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud support rapid elasticity in cloud computing.
Detailed explanation-4: -Cloud Rapid Elasticity Example 1 Say that 10 servers are required for a three month project. With cloud services the company can provision them within minutes, pay a small monthly OpEx fee to run them rather than a large upfront CapEx cost, and decommission them at the end of the three months with no further charge.
Detailed explanation-5: -Resource provisioning has to do with assuring that the cloud service will be sufficiently resourced as customer demand increases. To do this, a CSP would need to take certain measures to successfully deliver on its SLAs. For instance, the CSP might have procedures in place to add servers or storage as demand increases.