2005Unpublished venueRequires access

A Network Traffic Forecast Model Based on Time Character

Xin Ye

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Abstract

This paper proposes a forecast traffic model correlative to time character. Network traffic is forecasted un- der the traffic model. We also present a mathematics definition of network traffic forecast error. The data of experi- ment of network measurement shows that the traffic model has the advantage of more forecasting precision which is defined str1ctly. The traffic model is very suitable to practical operational networks.

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What this paper is about

This paper proposes a forecast traffic model correlative to time character. Network traffic is forecasted un- der the traffic model. We also present a mathematics definition of network traffic forecast error. The data of experi- ment of network measurement shows that the traffic model has the advantage of more forecasting precision which is defined str1ctly. The traffic model is very suitable to practical operational networks.

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Available abstract

This paper proposes a forecast traffic model correlative to time character. Network traffic is forecasted un- der the traffic model. We also present a mathematics definition of network traffic forecast error. The data of experi- ment of network measurement shows that the traffic model has the advantage of more forecasting precision which is defined str1ctly. The traffic model is very suitable to practical operational networks.

Key concepts: Computer science, Network traffic simulation, Traffic generation model, Character (mathematics), Traffic network, Traffic model, Traffic congestion reconstruction with Kerner's three-phase theory, Floating car data

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