Using power measurements as a basis for workload placement in heterogeneous multi-cloud environments
Mascha Kurpicz-Briki, Anita Sobe, Pascal A. Felber · 2014
Distributed data centers for multi-cloud environments usually do not consist of homogeneous hardware as they are not built at the same time by the same owner. Assigning workloads to the most appropriate processing units is therefore a challenging task. In this paper we show how in the context of heterogeneous data centers power consumption can be used as a metric to drive scheduling.