Open AccessResource Consumption Forecasting for Information System using Holt-Winters Method and Linear Regression Method
Author(s) -
Yunrui He,
Yiying-yan,
Yijie-dang,
Zhiyu-chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1693/1/012069
Subject(s) - computer science , resource (disambiguation) , consumption (sociology) , linear regression , resource consumption , regression analysis , regression , operations research , resource planning , time series , data mining , machine learning , statistics , engineering , mathematics , economics , environmental resource management , sociology , biology , computer network , social science , ecology
Through the analysis of historical data and model training, the resource consumption forecasting of information system can estimate the utilization of resources in the future and help to make resource planning in advance. The traditional methods are usually based on the experience of operation and maintenance personnel and the preliminary statistics of subsequent plans, which is time-consuming and labor intensive, and cannot adapt to unplanned changes. In order to solve these issues, an automatic resource consumption forecasting method based on Holt-Winters and linear regression algorithm is proposed in this paper. The experimental results show that the method can well predict the periodic and incremental resource consumption changes.