Resource Allocation based on Genetic Algorithm for Cloud Computing

With the fast development of Cloud computing, many applications and services have become convenient. When resource allocation is unbalanced in Cloud, the processing time becomes longer. Hence, the resource allocation strategy for the virtual machine is a critical problem for the cloud computing environment. In this paper, we propose two phases to overcome the problem with resource allocation. First, we predict the workload with each virtual machine to estimate the resource is significant than the threshold. Then, the genetic algorithm allocates the task to solve the optimal solution for resource allocation. The experiment results show that using the proposed method achieves the load balance and reduces Cloud's processing time for cloud computing.