Energy Aware Scheduling of Real-Time and Non Real-Time Tasks on Cloud Processors (Green Cloud Computing)

The problem of device independent data access has been answered by the cloud computing technology. The flexibility of device independence has driven many users, and the no maintenance strategy has driven many organizations towards this technology and the number is increasing by the day. Therefore energy efficient computing on the cloud processors has become inevitable. In this paper, we present a system that handles real-time and non real-time tasks in an energy efficient method without compromising much on neither reliability nor performance. Of the three processors, two processors i.e. the first and second, handle real-time tasks, using Earliest-Deadline-First (EDF) and Earliest-Deadline-Late (EDL) scheduling algorithms respectively. On the third processor, the non real-time tasks are scheduled using the First Come First Served (FCFS) scheduling algorithm and the tasks are run at an energy efficient frequency. Our simulation results show significant energy savings compared to the existing Stand-by Sparing for Periodic Tasks (SSPT) for a few execution scenarios.