Real-Time Simulated Traffic Generation and Verification Methods Based on the Traffic Pattern Analysis

Hyuncheol Kim, Wonhyuk Lee, Jeom-goo Kim
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Abstract

The explosive growth of Internet traffic has led to a dramatic increase in demand for data transmission capacity, which has spurred tremendous research activities in real-time traffic estimation and related methodologies. High-speed services and bulk transmission were available and various next-generation converged services are undergoing a change by various services. This paper presents improved real-time simulated traffic generation and verification schemes based on the actual traffic pattern analysis. For this, we analyzed traffic patterns of actual application system and generated simulated traffics. We also suggested scheme that verify similarity of simulated traffic and actual traffic.
基于流量模式分析的实时仿真流量生成与验证方法
互联网流量的爆炸性增长导致对数据传输能力的需求急剧增加,这刺激了对实时流量估计及其相关方法的大量研究活动。高速业务和大容量传输已经实现,各种新一代融合业务正在经历各种业务的变革。本文在分析实际流量模式的基础上,提出了改进的实时模拟流量生成和验证方案。为此,我们分析了实际应用系统的流量模式,并生成了模拟流量。我们还提出了验证模拟流量与实际流量相似度的方案。
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