Energy efficient workflow scheduling in Dynamic Voltage Frequency scaling enabled cloud using Metaheuristic approach

Dynamic voltage Frequency Scaling is widely used in data centers for reducing the power consumption. When DVFS is integrated into cloud workflow scheduling, the work is allotted to the virtual machines that has minimal operating frequency. Instead, it will be better if it is optimally allocated based on the overall list of VMs present and the entire requirement. To achieve this, Memetic Dynamic Voltage/Frequency scaling (MDVFS) algorithm is proposed where the task assigned is redistributed to less utilized processors and free processors are released. The experimental results show reduction in power consumption by 30–50 % for different parallel applications.