A Framework for Cloud Workload Allotment Using Real-Time Carbon Intensity of Energy Sources
Results show that the proposed framework for thermal-aware and carbon-efficient workload allocation could effectively select out the most suitable servers for workloads not only from viewpoint of carbon usage but also from the thermal perspectives, and at the same time, it also reduces the amount of cooling required and carbon emissions while keeps several performance metrics at comparable levels.