2003Jisuanji gongchengRequires access

Network Traffic Prediction Based on a Periodic Traffic Model

He Jun

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Abstract

This paper introduces some communication links for long with our network monitor system. The practical traffic measured from operating network including WAN and LAN can all be divide into two fractions: time dependent fraction and time independent fraction. Based on above experiment conclusion,a selftraining traffic modeling arithmetic based on online measurement and a traffic forecasting arithmetic are designed which can forecast the traffic at any time. The comparison between forecasting traffic at different precision and practical traffic is also given.

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What this paper is about

This paper introduces some communication links for long with our network monitor system. The practical traffic measured from operating network including WAN and LAN can all be divide into two fractions: time dependent fraction and time independent fraction. Based on above experiment conclusion,a selftraining traffic modeling arithmetic based on online measurement and a traffic forecasting arithmetic are designed which can forecast the traffic at any time. The comparison between forecasting traffic at different precision and practical traffic is also given.

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Available abstract

This paper introduces some communication links for long with our network monitor system. The practical traffic measured from operating network including WAN and LAN can all be divide into two fractions: time dependent fraction and time independent fraction. Based on above experiment conclusion,a selftraining traffic modeling arithmetic based on online measurement and a traffic forecasting arithmetic are designed which can forecast the traffic at any time. The comparison between forecasting traffic at different precision and practical traffic is also given.

Key concepts: Computer science, Traffic generation model, Network traffic simulation, Fraction (chemistry), Traffic model, Floating car data, Real-time computing, Traffic congestion reconstruction with Kerner's three-phase theory

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