Cost Optimized Hybrid Distributed Load Balancing in Cloud

Abstract

Abstract Cloud computing is a utility computing with a huge collection of resources at the datacenter. When a client requests a particular task be performed, the request is routed to a server that has the resources to do the task and the server is scheduled using broker policy. A suitable virtual machine (VM) operating on it in turn handles the request. The current work suggests a cost-optimized hybrid load balancing method in cloud COHDLBC 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. The proposed COHDLBC algorithm is implemented in GUI based cloud simulator cloud