The utility of public cloud environments is increases in current scenario of information technology. The performance and capacity of cloud environments enhanced the performance of information technology-based application. the major issue in cloud network is allocation of resource and execution of task. For the management of resource and task cloud computing uses load balancing technique. the load balancing technique, balance the load factor over the cloud environments. In this paper presents the review of cloud computing load balancing based on different heuristic-based function and clustering technique. the clustering technique gives the concept of dynamic load balancing. The heuristic based balancing technique used various algorithm such as genetic algorithm, particle swarm optimization and many more swarm-based algorithm.
The proper utilization of virtual machine in cloud computing environments, manage the process of load. The process of load balancing increases the efficiency and utility of cloud environments. The major components for the balancing of load is allocation of resource and distribution of tasks. For the allocation and distribution of tasks various swarm-based algorithms is proposed and enhanced the performance of cloud environments. In this paper proposed the virtual machine classification technique based on the distribution of tasks using heuristic function. The proposed algorithm is combination of KNN algorithm and ant colony optimization. The ant colony optimization is meta-heuristic function used for the process of optimization. The proposed algorithm simulated in CLOUDSIM 3.0 and measure the performance of proposed algorithm.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.