Abstract

Lowering the energy usage of datacenters is a challenging and complex issue because computing\napplications and data are growing so quickly that increasingly larger servers and disks are needed to process them fast\nenough within the required time period. It is essential for ensuring that the future growth of Cloud computing is\nsustainable. Otherwise, Cloud computing with increasingly pervasive front-end client devices interacting with back-end\ndata centers will cause an enormous escalation of energy usage. To address this problem, data centre resources need to\nbe managed in an energy-efficient manner to drive Green Cloud Computing. The Green Cloud Computing has been\nproposed in this work using two scheduling algorithms i.e. Round robin scheduling and Priority based Scheduling. The\nresults evaluation will be done on the basis of total energy consumed during running of tasks and on energy consumed\nby low priority jobs and high priority jobs.