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Elasticity is a feature quite important for cloud computing and it is related to how a system autonomously adapts its capacity over time to fit the workload variation. In this context, this paper proposes an elastic architecture for cloud computing based on autonomic computing concepts, such as control loops and thresholds-based rules. In order to validate the proposed solution, we designed two experiments that use microbenchmarks on private and hybrid cloud environments. The results show cloud computing and autonomic computing may be leveraged together for elasticity provisioning.