Space-time scheduling for green data center networks

This paper puts forward a systematic approach to designing energy-aware traffic-efficient geographical load balancing schemes for data-center networks that are not only optimal, but also computationally efficient and amenable to distributed implementation. Under a stochastic optimization approach, we rely on decomposition techniques and develop a two-timescale algorithm that optimizes jointly workload and power balancing schemes across the network. Both delay-tolerant and interactive workloads are accommodated, and novel smart-grid features are incorporated to cope with renewables and energy storage units.