AN ANALYSIS OF THE COMBINED WAVELET-GM(1,1) MODEL FOR NETWORK TRAFFIC FORECASTING
- Release time:2024-08-09
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Affiliation of Author(s):
理学院
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Journal:
Proceedings of 2009 IEEE International Conference on Network Infrastructure and Digital Content
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Key Words:
中文关键字：网络流量;GM(1,1);小波理论;预测模型，英文关键字：Network Traffic; GM(1,1); Wavelet Theory; Forecast
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Abstract:
Based on Grey theory, a combined wavelet-GM(1,1) forecasting model is proposed. The random properties of some non-stationary time series can be reduced by wavelet decomposition into many series
according to different scales. Decomposed time series are predicted with GM (1,1) model to obtain forecasted results of the original time series. Experiments on network traffic show that the combined model is more effective than the common grey model. The application of the proposed combined model to network traffic forecasting may
offer scientific rationale to Internet routing decision, LAN virus detection and illegal invasion prevention.
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Note:
白燕
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Co-author:
马珂
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First Author:
马光思,baiyan
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Indexed by:
Journal paper
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Volume:
卷：
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Issue:
期：
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Page Number:
页：155-158
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Translation or Not:
no
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Date of Publication:
2009-11-01
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