现代电子技术2016，Vol.39Issue(7)：24-28,32,6.DOI:10.16652/j.issn.1004-373x.2016.07.006
云计算机环境资源配置技术研究
Research on resource allocation technology in cloud computer environment
郑伦川1
作者信息
- 1. 重庆科创职业学院 信息工程学院，重庆 402160
- 折叠
摘要
Abstract
For the problem of how to reduce the manual operation in the process of cloud computer resources management to achieve resource adaptive management,a resource management strategy of neural network load forecasting algorithm based on load similarity and multi⁃objective genetic algorithm based on hybrid grouping encoding is proposed. The simulation experiments for physical nodes of different scale and different neural networks were conducted in the environments of Matlab and CloudSim respectively. The experimental results show that the Elman neural network load forecasting algorithm based on load similarity adapts to the dynamic characteristics of cloud computer system,and can effectively improve the accuracy of resource load fore⁃casting. The resource management strategy of multi⁃objective genetic algorithm based on hybrid grouping encoding can reduce the frequency of the virtual machine migration,and optimize the use quantity of physical machines.关键词
云计算/负载预测/神经网络/虚拟机迁移Key words
cloud computing/load forecasting/neural network/virtual machine migration分类
信息技术与安全科学引用本文复制引用
郑伦川..云计算机环境资源配置技术研究[J].现代电子技术,2016,39(7):24-28,32,6.
