Parallel Investigation of Different Task Schedulers at Greencloud for Energy Consumption in Datacenters

Energy consumption in datacenters depends upon its workload in execution of processes in which the resources are handled by the processors. In datacenters, the consumed energy leads to reducing the operational cost from that the organization can save money to improve the economy and also enhances the quality of life with green environment. In this paper, we compared different task schedulers namely Green Scheduler (Consolidation based scheduler), Round Robin Scheduler, Random Scheduler, Heterogeneous Energy-efficient Resource allocation Optimizing Scheduler, Datacenter Energy-efficient Network-aware Scheduler––RandDENS, BestDENS for datacenters energy consumption on computing resources in Greencloud simulation environment. The simulation results are obtained through energy management by datacenter topology with three-tier high-speed architecture and Dynamic Voltage Frequency Scaling in virtualization.