Temperature-aware workload management for sustainable datacenters powered by renewable energy

Abstract

As large-scale datacenters become to be widely used in massive data processing and storage, the power consumption of these datacenters cannot be ignored any more, which leads to a significant carbon footprint. Renewable energy sources are used recently as the power supply for datacenters. In this paper, we focused on the sustainable datacenters using hybrid energy supply, and proposed a temperature-aware workload load management approach to maximize the utilization of renewable energy sources, considering the power consumption of both IT devices and cooling devices. In order to evaluate the effect of the proposed method, we perform simulation experiments using the Cloudsim tool. Results show that the proposed method can effectively reduce the brown energy consumption while maximizing the utilization of green energy.