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

Owing to the cloud computing center needs to guarantee the quality of service (QoS) while reducing the energy consumption, presenting a queuing model of cloud computing tasks based on the queuing mechanism of users accessing the cloud computing center. Based on this model, an energy consumption management algorithm of cloud computing center based on M / M / C queuing process is proposed. By solving the model, the average waiting time, blocking probability and other performance indexes are obtained .Then the energy consumption model of the system is established. At the same time, the parameter ERP (energy response time product) is used as the feedback quantity of the queuing network, and the feedback strategy and the server sleep reservation mechanism are introduced to dynamically adjust the number of server services in the cloud computing center. The simulation results show that compared with other strategies, this strategy can effectively reduce the energy consumption of the system and avoid the waste of server resources while ensuring the QoS value.