Virtualized Load Balancer for Hybrid Cloud Using Genetic Algorithm

Load Balancing is an important factor handling resource during running and execution time in real applications. Virtual machines are used for dynamically access share the resources. As per current scenario cloud computing played major storage, accessing, pooling internet based service offering. Usage of services increased such as online shopping, education, ticketing, etc. Many users can use resources load balancing adjusting virtual machine balance node. Our proposed virtualized genetic algorithms to provide balanced Hybrid cloud. The algorithm experiments implemented by using Cloud simulator. In this paper done with models, Machine allocation, simulations. Also compare results response time, throughput turnaround sim. accuracy be compared existing techniques.