International audienceEnergy savings are among the most important topics concerning Cloud and HPC infrastructuresnowadays. Servers consume a large amount of energy, even when their computingpower is not fully utilized. These static costs represent quite a concern, mostlybecause many datacenter managers are over-provisioning their infrastructures comparedto the actual needs. This results in a high part of wasted power consumption. In thispaper, we proposed the BML (“Big, Medium, Little”) infrastructure, composed of heterogeneousarchitectures, and a scheduling framework dealing with energy proportionality.We introduce heterogeneous power processors inside datacenters as a way to reduceenergy consumption when processing variable workloads. Our framework brings an intelligentutilization of the infrastructure by dynamically executing applications on thearchitecture that suits their needs, while minimizing energy consumption. In this paperwe focus on distributed stateless web servers scenario and we analyze the energy savingsachieved through energy proportionality
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.