Enriched Resourceful Weighted Round Robin For Optimal Balancing of Loads in Cloud Environment

Load balancing is considered as one of the most critical task of cloud computing as it requires an effective load balancing system to balance the network loads based on parameters including latency, throughput, execution time, response time, quality of services, fault tolerance, load balance, scalability, and resource utilization. In this paper, we develop a load-balancing model using an Enriched Resourceful Weighted Round Robin approach that aims at balancing the cloud based on several input parameters. The parameters including Response time, Processing cost and Resource Utilization helps in finding the intensity of loads in cloud environment. These inputs define the dynamic nature of load balancing in clouds and the round robin approach estimates the load and allocates the resources based on this. The simulation is conducted on CloudSim tool to test the efficacy of the model and the results of simulation show proposed model achieves higher rate of resource utilization with minimum overhead, reduced migration time and increased throughput that shows improved network performance than existing methods.