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.