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We present a method and a tool for devising adaptation plans for the deployment of software applications on cloud computing infrastructure comprising a combination of reserved and "pay-as-you-go" resources. Starting from a trace log that represents the expected workload pattern of the application, we exploit queuing theory results to synthesize an adaptation plan that manages the cloud elasticity...
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