Cloud computing provides the various resources on-demand for the end users on pay-per-use through internet connection. This has increased the demand for computing resources leading to the growth of power consumption inside data centers. The biggest challenge is how to balance profits by reducing the power usage along with SLA. Dynamically consolidating the virtual machine, which puts the idle nodes to sleep nodes or switches off the unused host machine in datacenters by migrating the virtual machine live from underloaded or overloaded host machine. In this paper we have compared four different virtual machine placement algorithm for the energy consumption, number of VM migration, SLA violation (SLAV), performance degradation due to Migration (PDM), SLA violation Time per active host (SLATAH) and Energy SLA violation (ESV). To evaluate the algorithm we have used the CloudSim simulation toolkit and real-world workload traces of planet lab VMs for our experiment.
Energy consumption, VM migration, SLA violation (SLAV), performance degradation due to Migration (PDM), SLA violation Time per active host (SLATAH) and Energy SLA violation (ESV).