Temperature Aware Workload Management in Geo-Distributed Datacenters
Datacenters consume an enormous amount of energy with significant financial and environmental costs. For geo-distributed datacenters, a workload management approach that routes user requests to locations with cheaper and cleaner electricity has been shown to be promising lately. The authors consider two key aspects that have not been explored in this approach. First, through empirical studies, they find that the energy efficiency of the cooling system depends directly on the ambient temperature, which exhibits a significant degree of geographical diversity. Temperature diversity can be used by workload management to reduce the overall cooling energy overhead.