A Nature-Inspired Solution to Managing Activities in the Cloud with Equal Time by Using Machine Learning Approach

Abstract

AbstractCloud computing is one of the strongest paradigms in computing. The advancement of cloud storage infrastructure renders things complicated due to the huge growth within the field. The load balancing from a virtual computer plays a significant role in effective planning. The natural solution named “healthy bee feed” (LB-HBF), a system for the automated load balancing of machinery, is suggested here. The job and machine assignment method is the same time assignment in the context of this LB-HBF. This strategy assigns virtual machines activities primarily and reduces the relocation of work through virtual equipment. Load balancing is considered one of the key mechanisms for the efficient distribution of cloud services. The issue of load balancing would in future involve entirely autonomous distributed networks. In this case, an Osmosis Load Balancing (OLB) technique has been implemented. In order to program functions on Virtual Computers, OLB works on an osmosis principle. The method is based on the Digital Hash Table (DHT) chord overlay scheme. The overlay of chord is used to track the state of clouds and organic workers. In a variety of heterogeneous and homogeneous clouds, the proposed algorithms demonstrate better efficiency by simulation experiments.KeywordsCloud computingMachine learningLoad balancingOLBDHT