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A network traffic model based on measurement

Dongyan Zhang, Mingzeng Hu, Hongli Zhang, Ting-Biao Kang

Open publisher page 2 citations

Abstract

Network traffic and the value of performance measurement metrics can be forecasted using the traffic model. In this paper, after investigating model ARIMA which is often used in time series scopes and random process, a specific and effective method for performance forecast is presented. Through the measurement on the LAN, the data of experiment shows that the traffic model has the advantage of more forecasting precision and the traffic model is very suitable to practical operational networks.

About this research paper

What this paper is about

Network traffic and the value of performance measurement metrics can be forecasted using the traffic model. In this paper, after investigating model ARIMA which is often used in time series scopes and random process, a specific and effective method for performance forecast is presented. Through the measurement on the LAN, the data of experiment shows that the traffic model has the advantage of more forecasting precision and the traffic model is very suitable to practical operational networks.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Available abstract

Network traffic and the value of performance measurement metrics can be forecasted using the traffic model. In this paper, after investigating model ARIMA which is often used in time series scopes and random process, a specific and effective method for performance forecast is presented. Through the measurement on the LAN, the data of experiment shows that the traffic model has the advantage of more forecasting precision and the traffic model is very suitable to practical operational networks.

Key concepts: Autoregressive integrated moving average, Computer science, Traffic generation model, Process (computing), Network traffic simulation, Time series, Traffic model, Data modeling

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