Task Scheduling and Resource Allocation in Cloud Computing
In this project, we create a cloudsim environment with n number of users, n number of data centers, n number of virtual machines, n number of brokers and n number of cloud service providers. Next, Randomly allocate the N number of tasks int othe cloudsim environment.
Next, Perform the task scheduling process based on the load balanced ant Colony optimization (ACO) method process considering makespan and load balance of VM.
Then next, Perform the process of executing the task on VM in efficient utilized manner. Finally the proposed work evaluates the performance metrics, make span,cost and resource utilization.
Compare the implemented algorithm with FCFS,PSO. chart Analysis of the comparison based on two factor: makespan and load balance on VM.
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