Socially-Responsible Load Scheduling Algorithms for Sustainable Data Centers Over Smart Grid
Power consumption of data centers accounts for a significant portion of operational cost for service providers. However, it is not sufficient to minimize electricity cost only. Instead, service providers should also consider the sustainability of data centers. In this paper, the authors investigate the problem of socially-responsible load scheduling for sustainable data centers in a smart grid environment. They formulate the joint optimization of electricity cost, performance cost and social cost into a min-cost network flow model, which takes the diversity of regional electricity prices, user request latency, usage of renewable energy into account.