Power consumption analysis of replicated virtual applications in heterogeneous architectures

Nowadays, power consumption in IT infrastructures is a major area of concern for both academia and industry. In data centers where computational power is provided by means of virtualized resources, like virtual machines, the policy to allocate them on physical servers can strongly impact the power consumption of the entire system. This affects data center management, and proper estimation means can offer an important guidance to administrators. We propose a lumped Petri net model to investigate the contribution to energy efficiency due to different allocation and deallocation policies on heterogeneous machines with different power demands, to support estimation and planning of datacenter needs.