Energy ? Optimized Virtual Machine Scheduling Schemes in Cloud Environment

The Cloud Computing services such as IaaS, SaaS, and PaaS are provided to the consumers are based on the subscription given by the providers. Consumer can acquire their instances as per their requirements like reservation, on-demand or spot or any other methods given by the service providers. Consumers can use networked storage space or computer resources through high-speed internet at their own place. In Cloud computing Virtual Machine is allowing to use large amounts of computing power in para-virtualized, full-virtualized mode where combined resources are used. Cloud computing signifies energy optimization of Virtual Machine resources such as hardware, software, LAN, networked devices. For achieving energy optimization the main objective is reduce energy consumption and improvement in utilization of VMs. In this paper we proposed Priority ? Based Energy Optimized Scheduling Scheme called PEOSS, where an auto ? scheduler software manages all VMs as per the request of the consumers in reservation or on-demand manner. The auto VM on or off, pause or resume is taken place as per the date and the time duration of the consumer request. So, by making pause or off the VM, when they not required the amount of energy consumption is reduce. For consumer satisfaction before the time VM is started. To manage and test this scheme the cloud environment is developed in VMware Workstation