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ABSTRACT

Scheduling in cloud environment is a big challenge, it has two flavors in cloud environment one to schedule the placement of the virtual machines (VM) and second is the placement of cloudlet or tasks in the right virtual machine for the fast execution. In first type of scheduling to save the energy in the DataCenter it is always a good idea to re-arrange the running VM’s on the underlying physical machines, so the underload physical machine can go to sleep to save energy. So, the assignment of the VM from the underloaded physical machine to other is a challenge. In second the placement of cloudlet to the VM for execution, the decision to VM is crucial. In DataCenter, the underlying environment is heterogeneous, it is a challenge to use all the VM which are now old and new high-end specs VM. So, balancing the tasks assignment is challenging. In the proposed work the placement of the tasks is taken up, the tasks are picked- up for execution on the FCFS basis and our algorithm assigns all the tasks to the VM which is providing the minimum execution time. It calculates the time of execution from all the VM available and calculates the time to finish the previous assigned or under execution tasks to find the minimum execution time. We will see the algorithm working in load scenarios.

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