Load Balancing of Virtual Machine Resources in Cloud Using Genetic Algorithm
K. Chandrasekaran, D. Usha · 2013
In cloud computing most of the load balancing exists in VM migration. When the entire VM resources are migrated, due to the large granularity of VM resources and the great amount of data transferred in migration and the suspension of the service, the migra- tion cost becomes a problem. Hence, the goal of this project is to design and implement a genetic algorithm for a scheduling strategy on Virtual Machine Resources in cloud comput- ing environment using current system state such that it achieves load balancing and hence Virtual Machine migration problem is optimized. It will compute the influence on system after deployment of Virtual Machine resources before actually deploying and then selects the best solution having least load imbalance