Hybrid Cost Optimized Load Balancing in Cloud

Abstract

Abstract: Cloud infrastructure goods and a collection of servers are housed in a cloud datacenter. When a client requests that a particular task be performed, the request is routed to a server that has the resources to do the task. A suitable virtual machine (VM) operating on it in turn handles the request. The current research suggests a cloud-based cost-optimized hybrid load balancing method that chooses the virtual machine to assign jobs depending on the VM's availability and its active connections at that precise moment. Also, it examines the prices of the various virtual machines and data transfer cost to choose the one that will fulfill the request for the lowest cost. In almost all test cases, the suggested technique reduced overall response time and cost. Resources are de-provisioned from a pool of resources once they have been used for a set of specific workloads. The quality of service(QOS) for the end customers must be ensured during this processing period. The main objective of this research is to make it possible for end customers to access services at the lowest possible cost and response time.