Efficient and Balanced Virtualized Resource Allocation Based on Genetic Algorithm in Cloud

Abstract

Load balance problem has become a research hot spot problem of distributed computing field, whose objective is to ensure that each physical resource is allocated efficiently and fairly. As a typical distributed computing environment, the load balance of resource allocation in cloud computing environment is implemented by the live migration of virtual machines. A virtual machine resource provision genetic algorithm based on load balance, LB-GA is presented. Combined with the advantages of genetic algorithm, the proposed algorithm has an excellent outcome in balance of resource allocation. The simulation experimental results show that LB-GA can not only get fewer virtual machine migration amount, but also can implement load balance of cloud resource allocation. In the end, an application scenario of load balance in cloud computing environment is constructed to demonstrate the importance of our algorithm.