SOM ALGORITHM FOR CLOUD DATA CENTRE LOAD BALANCING

Cloud computing is an emerging technology in parallel and distributed computing which requires large amount of infrastructure and resources. To optimally serve the needs of the clients all over the world, their providers have leveraged data centres at diff erent geographical locations. Load Balancing is one of the key issue in cloud computing. A load can be a CPU load, memory capacity or network load. It is the process of distributing workload equally on all servers in order to improve resource utilization a nd response time. Such algorithms mainly aim at ignoring a state where some nodes are heavily loaded while others are lightly loaded or idle. In my presented work, comparative study of Round Robin, Honey Bee Foraging and Genetic Algorithm is conducted and is evaluated using CPU utilization time. The proposed Algorithm SOM (Self Organizing Map) provides optimum and efficient scheduling with low resource consumption and it is simulated using CloudSim