Optimization of cloud data centre resources using meta-heuristic approaches

Large companies with data centres can easily rent out their computing power to other organisations, making money while also maximising the use of the resources required to run the data centre. It would take very little investment and little cost to provide cloud services to companies that already have large data centres. In this paper, we develop a hybrid modelling for optimal utilisation of cloud resources. The combination of particle swarm optimisation is combined with deep learning algorithm for effective provisioning of cloud resources. The simulation is conducted on cloud sim simulator to test the efficacy of the model and the results of simulation are compared against various performance metrics including makespan, delay, and throughput.