Performance Evaluation of New Hybrid Appraoch of Load Balancing in Cloud Computing
Abstract
Cloud computing is an evolving phenomenon this year that incorporates multiple areas of computing efficiently. Cloud Computing provides users with many on-line resources, such as: storage, process control, networking, databases, servers, low cost and energy virtual servers. In cloud networking environments, load balancing is the primary concern. A technique that spreads load between the nodes in a system is LB (load balancing). The primary aim of load balancing is to use resources and to improve performance. It also eliminates nodes that have a lot of data or are overwhelmed, as well as nodes that aren't doing well or are just doing a small amount of work. By combining particle swarm optimization (PSO) and genetic algorithm, we proposed a hybrid algorithm, namely particle swarm optimization and genetic algorithm (HPSOGA) (GA). Our hybrid algorithm, along with the normal PSO and genetic operators, has an important objective function..