摘要
多数企业都会将数据部署到云数据中心,这使得能耗问题变得突出。本文针对数据中心的能耗问题进行讨论研究,通过对虚拟机放置模型的改进,实现了全局遗传算法的优化。全局遗传算法的实现过程包括编解码、种群初始化、交叉算子等遗传算子。实验结果表明,优化后的全局遗传算法能够有效的降低云数据中心的耗能,具有一定的应用价值。
Most of companies will upload their data to Cloud Data Centers,which makes the problem of energy consumption become more and more prominent. However,by discussing and researching the problem,there is way to improve the genetic algorithm by means of optimizing the model of how Virtual Machine placed. The implementation process of global genetic algorithm includes codecs,population initialization,crossover and other genetic operators. The experiment result indicates that the genetic algorithm has much more superiority than traditional algorithm in reducing energy consumption of Cloud Data Centers,which proves its practical application value.
出处
《长春理工大学学报（自然科学版）》
2015年第6期150-153,共4页
Journal of Changchun University of Science and Technology(Natural Science Edition)
关键词
云计算
遗传算法
虚拟机
节能
cloud computing
genetic algorithm
virtual machine
energy conservation
