Improved Active Monitoring Load-Balancing Algorithm in Cloud Computing

Abstract

The primary job of load balancing in cloud is to allocate millions of incoming user requests on available distributed resources to increase cloud performance. With increasing number of user requests and demand for computing resources, it becomes a big challenge for load balancer to manage all tasks properly to maintain both Quality of Service (QoS) and performance in cloud. Improper distribution of tasks may decrease the utilization of resources as well as performance of cloud and situation of underutilization or overutilization may occur. Load balancing helps to overcome performance degradation problems and to increase resource utilization. So, it becomes essential to use an efficient load balancing algorithm in data center to select virtual machines for tasks execution. In our work, we have presented a load-balancing algorithm which allocates the tasks on suitable virtual machines based on load and availability of virtual machine. We implemented and evaluated proposed algorithm on cloud analyst simulator. We analyzed the results and found that the proposed algorithm provides higher resource load balancing and performance.