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Analysis of traffic model and self-similarity for QQ in 3G mobile networks

机译:3G移动网络中QQ的流量模型和自相似性分析

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摘要

Data service traffic model is playing more and more important role in many fields of 3G (Third Generation) mobile networks such as traffic forecasting, resource allocation, network optimization and so on. QQ as one of the most popular Internet service in China also developed very rapidly in mobile networks. By analyzing the communication mechanism and format of QQ packet, a novel QQ message model is put forward and the characteristics of the parameters and distributions are given based on the real QQ data collected on the UMTS networks. Extensive researches of the network traffic show the packet data traffic has the characteristics of self-similarity and long range dependence. The self-similarity of QQ traffic is investigated and the Hurst parameters are estimated with different methods.
机译:数据服务流量模型在3G(第三代)移动网络的许多领域中发挥着越来越重要的作用,例如流量预测,资源分配,网络优化等。 QQ作为中国最受欢迎的互联网服务之一,在移动网络中的发展也非常迅速。通过分析QQ数据包的通信机制和格式,提出了一种新颖的QQ消息模型,并基于在UMTS网络上收集的真实QQ数据,给出了参数和分布的特征。对网络流量的大量研究表明,分组数据流量具有自相似性和长距离依赖的特点。研究了QQ流量的自相似性,并用不同的方法估计了Hurst参数。

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