Review and Analysis Load Balancing Machine Learning Approach for Cloud Computing Environment

Abstract

The discussion centres on load balancing approaches utilising the Artificial Learning Approach cloud computing paradigm. Cloud load balancing is a series of activities to distribute workloads to underused VMs, such that resources can be more efficiently distributed across cloud computing. In this paper, we discuss a  Approach to design a load handling system with a similar case study to incorporate various scheduling approaches. The design of the model will be carried out using a managed approach that chooses to test log data on the basis of predictions. It maximises resource utilisation in different condominiums, such as low, medium and peak loads, and also provides device reliability. This induces a dynamic system environment.