Effective utilisation of cloud data centre and allocating user demands to virtual machines using LMRO algorithm

Abstract

Cloud computing is a recent trend for modifying the computing technique strongly. The cloud storage assets will be recurrently accessed. The method works based on a black box method that has difficulty to correlate acquired data for internal resource management techniques. The simulation is not permitted to conduct comparative analysis due to huge amount of features required. The Load Maintenance and Resource Optimisation (LMRO) algorithm proposes utilisation of cloud data centres and allocates user demands to Virtual Machines (VMs). The load balancer keeps track of cloudlets processed by every virtual machine and tries to balance the active load. The method has a main data centre controller and load balancers to collect and analyse the information. Based on experimental evaluation, proposed LMRO techniques reduces 0.065 seconds Task Request Time (TRT), 0.20 seconds Data centre Processing Time (DPT), 0.0125 $ Virtual Machine Cost (VMC) and improves 19.25% Throughput (TRP) as compared to the conventional techniques.