GGreen: A Greedy Energy-Aware Scheduling Algorithm on Grid Systems

Current large scale distributed systems face growth in data center electricity. In this paper, we have discussed energy-aware scheduling problem on grid systems. In this way, we provide GGreen -- a greedy task scheduling algorithm in order to reduce the global energy consumption on grid systems. GGreen strategy has an observational approach that focus on assigning heavy tasks to lowest power resource. Additionally, GGreen algorithm has been implemented and evaluated by using a grid simulation environment over three distinct scenarios. Experimental results show gains as compared to other alternatives with the main benefit of reducing the energy consumption.