An Adaptive Distributed Load Balancing Technique for Cloud Computing

Cloud Computing is demand based service model where services, information, software and resources hosted on datacenters which are geographically distributed. Load balancing is very important due to the increase in cloud services traffic. Load Balancing is techniques are used that the whole load is distributed among total available datacenters in a distributive cloud system. So there should not exist such condition where some processing nodes having larger proportion of load while some others processing nodes remains idle. Although many methods has been proposed for load balancing, some are static in nature and others are based on central or completely distributed load balancing techniques. We proposed energy efficient adaptive distributed technique which combines the properties of central and distributed load balancing. It properly utilizes the available resources and automatically responds with variations in demand for cloud services. We compared proposed technique with existing sequential technique for load distribution, energy per task and VM tasks distribution by using green cloud simulator.