LOAD BALANCING TECHNIQUES IN CLOUD COMPUTING ENVIRONMENT

Abstract

Virtualization, cloud storage, and networking facilities, plus applications all fall under the rubric of "cloud computing." A cloud is a set of clients, data centres, and distributed servers working stations. this necessitates fault tolerance, rapid provisioning, increased availability, greater performance, and less customer involvement A critical problem is to tackle is an effective distribution algorithm. It could be any one of three: CPU, memory, or delay. Mechanisms that are implemented and operationalized by the receiver of the form We want to develop an efficient load-balancing algorithm that maximises the throughput and minimise the latency of clouds of varying sizes (virtual topology depending on the application requirement). Dynamically allocating system resources can increase application performance in cloud computing. The results of this research show a dynamic resource allocation and dynamic server distribution that is better than the traditional priority algorithm. On the Cloud Network, the experiment was conducted. Our goal is to have as little reaction time as possible. Using the proposed function has allowed VM function scaling and migration to boost application performance