Abstract: This paper proposes a genetic algorithm approach for resource allocation optimization in container-based cloud environment. Considering resource allocation when VMS are configured on physical hosts and containers are configured on VMS, the objective function is to minimize the overall energy consumption of the container cloud platform data center. The machine should correspond to the container and other constraints, and the genetic algorithm is used to solve the objective function through five steps of chromosome expression, initialization, crossover operation, mutation operation and setting fitness function to obtain the optimal virtual resource allocation result. The experimental results show that the proposed method can realize the reasonable allocation of virtual resources in the container cloud environment and keep the energy consumption of the container cloud platform data center to a minimum and achieve the goal of resource efficient utilization.

Key words: genetic algorithm, container-based cloud, virtual resource, configuration optimization, physical machine, fitness function