A Green Scheduling Policy for Cloud Computing.

This paper presents a power-aware scheduling policy algorithm called Green Preserving SLA (GPSLA) for cloud computing systems with high workload variability. GPSLA aims to guarantee the SLA (Service-Level Agreement) by minimizing the system response time and, at the same time, tries to reduce the energy consumption. We present a formal solution, based on linear programming, to assign the system load to the most powerful Virtual Machines, while respecting the SLA and lowering the power consumption as far as possible. GPSLA is thought for one node load-aware and jobs formed by embarrassingly parallel heterogeneous tasks. The results obtained by implementing the model with the IBM CPLEX prove the applicability of our proposal for guaranteeing SLA and saving energy. This also encourages its applicability in High Performance Computing due to its good behavior when scaling the model and the workload. The results are also highly encouraging for further research into this model in real federated clouds or cloud simulation environments, while adding more complexity.