基于机器学习的线性回归预测数据库空间使用情况的应用研究  

Research on the application of linear regression based on machine learning to predict the use of database space

作　　者：宋静 张利益 Song Jing;Zhang Liyi(JIANGSU VOCATIONAL COLLEGE OF ELECTRONICS AND INFORMATION,Huai’an Jiangsu,223003)

机构地区：[1]江苏电子信息职业学院计算机与通信工程学院,江苏淮安223003

出　　处：《电子测试》2020年第15期58-59,62,共3页Electronic Test

摘　　要：针对传统数据库空间使用量预测方法中存在的预测结果不准确,与实际偏差较大,无法满足企业业务系统的运维空间需要,开展对基于机器学习的线性回归预测数据库空间使用情况的应用研究。通过建立数据库空间使用情况线性回归方程、基于机器学习的数据库容量趋势预测,提出一种全新的数据库空间使用情况线性回归预测方法。通过实验证明,该方法与传统方法相比准确性更高,更能够满足企业业务系统数据库对数据实时更新的需要。In view of the inaccuracy of the prediction results in the traditional methods of database space usage prediction,and the large deviation from the actual situation,which can not meet the needs of the operation and maintenance space of the enterprise business system,the application research of linear regression prediction database space usage based on machine learning is carried out.By establishing the linear regression equation of database space usage and forecasting the trend of database capacity based on machine learning,a new linear regression forecasting method of database space usage is proposed.Experiments show that this method is more accurate than the traditional method,and can meet the needs of real-time data update of enterprise business system database.

关 键 词：机器学习 线性回归预测 数据库 空间使用情况 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP181[自动化与计算机技术—计算机科学与技术]