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Characterization and modeling of network traffic

机译:网络流量的特征和建模

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This paper attempts to characterize and model backbone network traffic, using a small number of statistics. In order to reduce cost and processing power associated with traffic analysis. The parameters affecting the behavior of network traffic are investigated and the choice is that inter-arrival time, IP addresses, port numbers and transport protocol are the only necessary parameters to model network traffic behavior. In order to recreate this behavior, a complex model is needed which is able to recreate traffic behavior based on a set of statistics calculated from the parameters values. The model investigates the traffic generation mechanisms, and grouping traffic into flows and applications.
机译:本文尝试使用少量统计来表征和模型骨干网络流量。为了降低与交通分析相关的成本和处理能力。研究影响网络流量行为的参数,选择是到达间隔时间,IP地址,端口号和传输协议是模拟网络流量行为的必要参数。为了重新创建此行为,需要一种复杂的模型,其能够基于从参数值计算的一组统计数据重新创建流量行为。该模型调查流量生成机制,并将流量分组为流程和应用程序。

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