国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Research of container is becoming a hot problem because it is easier for application providers to pack, migrate, and deploy web applications than using virtual machines. An improved Genetic algorithm for resource allocation in container clouds called Double-GA was proposed in this paper. Double-GA is a two-level resource allocation strategy, the containers are allocated to virtual machines and virtual machines are allocated to physical machines. The mathematics model of two-level resource allocation in container-based cloud was presented and the overall energy consumption of physical resource was designed as the objective function in GA. A new dual-chromosome representation was used for new genetic operators such as initialization, crossover, mutation and fitness function. The experimental results show that Double-GA gains much better than the single-GA and BFD algorithm in all test instances.