A hybrid approach of load balancing through VMs using ACO, MinMax and genetic algorithm

Cloud computing allows hosting of multiple services on different datacenters where resources are allocated to users on demand. It uses virtualized environment for functioning services, because without virtualization computing is inefficient and not flexible. Load balancing assure that all the processors in the system does generally the equal load of work at any instant of time. The various traditional load balancing algorithms not performed well and they does not consider SLA parameters while selecting virtual machine for migration. Some another issues are also involved in migration process like number of migrations, consumption of cost, time and memory. So there is need to develop new approach for load balancing in data centers using VM algorithm that overcome the problems in traditional approaches and improve their performance. So the hybrid approach using various methods like ACO, Min-Max Ant System as well as GA algorithm is proposed in this paper. This paper overcome the problem of stagnation in ACO-VMM technique. The results are simulated in cloud sim environment.