A green energy optimized scheduling algorithm for cloud data centers

Cloud computing grow into more emerging technology, energy consumption in cloud needs to be paid more attention. In the data center virtualization technology is used to reduce the energy consumption of cloud. Virtual machine (VM) relocation and merging has been used as a vital backbone for cloud data center. Consequently, we requisite Green Cloud resolutions that able to not only decrease operating costs and moreover to decrease the environmental impact caused through data center. Various queuing algorithms are proposed to utilize the resources and assigning task in an efficient manner. We introduce a new energy consumption model and new scheduling strategy for Cloud environments. Our proposed model incorporates the module called as certainty and uncertainty scheduling which pledges involuntary relocation of VM to realm the green computing environment.