One of the most important economic appeals of cloud computing is its elasticity and auto-scaling in resource provisioning. Traditionally, after careful capacity planning, an enterprise makes long-term investments on its infrastructure to accommodate its peak workload. Over-provisioning is inevitable while utilization remains low during most non-peak times. In contrast, in the cloud, the number of Star Student Project computing instances launched can be changed adaptively at a fine granularity with a lead time of minutes. This converts the up-front infrastructure investment to operating expenses charged by cloud providers.
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