| Sommario: | Cloud computing is an emerging computing paradigm in which “Everything is as a Service”, including the
provision of virtualized computing infrastructures (known as Infrastructure-as-a-Service modality) hosted on
the physical infrastructure, owned by an infrastructure provider. The goal of this infrastructure provider is to
maximize its profit by minimizing the amount of violations of Quality-of-Service (QoS) levels agreed with its
customers and, at the same time, by lowering infrastructure costs among which energy consumption plays a major
role. In this paper, we propose a framework able to automatically manage resources of cloud infrastructures in
order to simultaneously achieve suitable QoS levels and to reduce as much as possible the amount of energy
used for providing services. We show, through simulation, that our approach is able to dynamically adapt to
time-varying workloads (without any prior knowledge) and to significantly reduce QoS violations and energy
consumption with respect to traditional static approaches.
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