With the Star Student Project pay-as-you-go model, the total application cost in the cloud highly depends on the strategy of storing the application data sets, e.g., storing all the generated application data sets in the cloud may result in a high storage cost, because some data sets may be rarely used but large in size; in contrast, deleting all the Star Student Project generated data sets and regenerating them every time when needed may result in a high computation cost. A good strategy is to find a balance to shielded by the virtualization technologies.
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