舰船电子工程2019，Vol.39Issue(3)：117-121,172,6.DOI:10.3969/j.issn.1672-9730.2019.03.027
Openstack平台资源负载预测方法研究
Research on Resource Load Prediction Method of Openstack Platform
黄秀 1蔡全旺 1王庆年1
作者信息
- 1. 中国船舶重工集团公司第七二二研究所 武汉 430205
- 折叠
摘要
Abstract
Resources in Openstack are normally statically allocated with low utilization. Therefore,dynamic resource allocation has become a hot topic of research. This paper focuses on load prediction,which is one of the key steps of dynamic resource allocation.The dynamic single exponential smoothing is used as the load prediction algorithm to predict the load of the system at the next moment. Based on the measurement goal of error square and SSE,the optimal weight coefficient is calculated by using Fibonacci method and golden section method respectively,so that the minimum weight coefficient of SSE is the weight coefficient used in the prediction,and then the weight coefficient is substituted into the coefficient formula after normalization for calculation and prediction.关键词
Openstack/负载预测/动态一次指数平滑/Fibonacci/黄金分割Key words
Openstack/load forecasting/dynamic single exponential smoothing/Fibonacci/golden section分类
管理科学引用本文复制引用
黄秀,蔡全旺,王庆年..Openstack平台资源负载预测方法研究[J].舰船电子工程,2019,39(3):117-121,172,6.
