A cross cloud scheduling algorithm at SaaS level on Rack Space, Go Daddy and Azure platforms

Cloud computing is the promising technology to support virtualization, resource management and provide services to IaaS, PaaS, SaaS. While cloud provides many features but still it has some short comings like energy consumption between clouds. So the major objective of the cloud computing is to provide the reliable service keeping minimum energy utilization. This paper focuses on analyzing the scheduling methods that can minimize the energy consumption. The round robin, FCFS and Priority based scheduling algorithms focuses on distributing the jobs in evenly manner, which in turn reduces the energy consumption. But they reduce energy consumption to some extent, so crossbreed algorithm has been developed in this work to minimize the energy consumption. The result shows that Crossbreed algorithm conserves more energy in comparison to individual scheduling algorithms.