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Fluid-flow modelling of internet traffic in GSM/GPRS networks

机译:GSM / GPRS网络中互联网流量的流模型

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摘要

In order to find an analytical solution for performance evaluation of Internet access over the General Packet Radio Service (GPRS), the packet-switched extension of the GSM mobile radio network, we evaluate the well-known Fluid-flow modelling (FFM) approach. Mobile Internet users are modeled by an ON/OFF source with exponentially distributed sojourn times in the ON and OFF state. We choose the IP datagram delay at the radio interface as quantity of interest. As Fluid-flow analysis only delivers the mean equilibrium buffer content, we present some additional methodology to calculate the sojourn time in the Fluid-flow model, taking specific characteristics of the GPRS into account. ON/OFF source parameters are determined representing the mean offered traffic in typical GPRS load scenarios by stochastic simulation, using the GPRS emulation system GPRSim. The GPRSim comprises load generators representing typical GPRS usage and a prototypical implementation of the GPRS protocols. Comparison of simulation results and analysis is performed using the same traffic source model for both simulation and analysis, eliminating approximation of WWW traffic characteristics as a reason for deviations between simulation results and analysis. Additionally analytical results are compared with results of the GPRSim using a detailed WWW model for traffic generation. The results illustrate the influence of accurate source modelling and the limitations of the FFM to model the GPRS system with elastic traffic. It is shown that the FFM is not able to depict the elastic property of TCP-based Internet traffic, but is capable of modelling the multiplexing of inelastic traffic like generated by streaming or real-time applications over the GPRS radio link in sufficient detail for performance estimations.
机译:为了找到一种分析解决方案来评估通用分组无线服务(GPRS)(GSM移动无线网络的分组交换扩展)上的Internet访问性能,我们评估了众所周知的流体流建模(FFM)方法。移动Internet用户通过ON / OFF源进行建模,在ON和OFF状态下的逗留时间呈指数分布。我们选择无线接口上的IP数据报延迟作为关注数量。由于流体流分析仅提供平均平衡缓冲液含量,因此,在考虑GPRS的特定特性的情况下,我们提出了一些其他方法来计算流体流模型中的停留时间。使用GPRS仿真系统GPRSim通过随机仿真确定代表典型GPRS负载情况下平均提供流量的ON / OFF源参数。 GPRSim包括代表典型GPRS使用情况和GPRS协议原型实现的负载生成器。仿真结果和分析的比较使用相同的流量源模型进行仿真和分析,从而消除了WWW流量特性的近似,而WWW流量特性是仿真结果和分析之间偏差的原因。另外,使用详细的WWW模型来生成流量,将分析结果与GPRSim的结果进行比较。结果说明了精确源建模的影响以及FFM在具有弹性流量的情况下对GPRS系统建模的局限性。结果表明,FFM不能描述基于TCP的Internet流量的弹性特性,但是能够对非弹性流量的复用进行建模,例如通过GPRS无线电链路上的流或实时应用程序生成的足够详细的性能估计。

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