Abstract-Many address lookup methods on the IP routers have been recently proposed to improve the packet forwarding capability; nevertheless, their performance prediction is very limited because of lack of considering actual traffic characteristics in their evaluations. It is necessary to consider actual traffic to predict more realistic performances on routers, specially in case of layers 3 and 4 switches whose performances are more influenced by flow characteristic. In this paper, we propose new methods for predicting the router's performance based on the statistical analysis of the Internet traffic. We also present an example of its application to the existing table lookup algorithm, and show that simulation results based on our method can provide accurate performance prediction.
Absrracf-Many address lookup methods for use on IP routers to improve their packet-forwarding capability have been proposed. However, their performance prediction ability is poor because actual traffic characteristics are not considered in their evaluation processes. The actual traffic must be considered in order to predict router performance more accurately, especially for layer 3 and 4 address lookups, whose performances are more affected by the flow characteristics. In this aper, we describe a method for predicting IP lookup algorithm pertormance that is based on statistical analysis of the Internet traffic. We present an example of its application to an existing IF lookup algorithm and show, based on simulation results that our method can provide accurate performance prediction for I$ lookup algorithms.
Abstract. Many address lookup methods for an IP router have been recently proposed to improve a packet forwarding capability, but their performance prediction is very limited because of lack of considering actual traffic characteristics. It is necessary to consider actual traffic to predict more realistic performances on routers, specially in case of layers 3 and 4 switches whose performances are more influenced by flow characteristics. In this paper, we propose new methods for predicting the router's performance based on the statistical analysis of the Internet traffic. We also present an example of its application to the existing table lookup algorithms, and show that simulation results based on our method can provide accurate performance prediction.
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