2005Journal of the China Railway SocietyRequires access

A Model of AS Level Internet Depicted by Specified Router

Changjia Chen

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Abstract

We propose a model to depict AS visual size and daily behavior based on the data collected by Netflow at a specified router. By mimicking the router as the Earth, the Ases as the stars and the traffic measured by Netflow at that router as the light emitted from different “starts”, we use the method of astronomy observation to infer the visual size and daily behavior of each AS through the intensity and fluctuation of the observed traffic. Based on the assumption that each AS consists of independent hosts with the identical traffic emission behavior and follows a mixed activation mechanism, our model fits the measured data quite well and is simple enough to be used in traffic engineering and traffic anomalies detection.

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What this paper is about

We propose a model to depict AS visual size and daily behavior based on the data collected by Netflow at a specified router. By mimicking the router as the Earth, the Ases as the stars and the traffic measured by Netflow at that router as the light emitted from different “starts”, we use the method of astronomy observation to infer the visual size and daily behavior of each AS through the intensity and fluctuation of the observed traffic. Based on the assumption that each AS consists of independent hosts with the identical traffic emission behavior and follows a mixed activation mechanism, our model fits the measured data quite well and is simple enough to be used in traffic engineering and traffic anomalies detection.

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Available abstract

We propose a model to depict AS visual size and daily behavior based on the data collected by Netflow at a specified router. By mimicking the router as the Earth, the Ases as the stars and the traffic measured by Netflow at that router as the light emitted from different “starts”, we use the method of astronomy observation to infer the visual size and daily behavior of each AS through the intensity and fluctuation of the observed traffic. Based on the assumption that each AS consists of independent hosts with the identical traffic emission behavior and follows a mixed activation mechanism, our model fits the measured data quite well and is simple enough to be used in traffic engineering and traffic anomalies detection.

Key concepts: NetFlow, Router, Computer science, Core router, Real-time computing, The Internet, Computer network, Simulation

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