ns-3中基于跟踪的应用层建模

P. Agrawal, Mythili Vutukuru
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引用次数: 11

摘要

Ns-3是研究人员广泛使用的网络模拟器。它包含许多经过良好测试和高质量的网络协议模型。然而,ns-3的应用层模型非常简单,并没有捕捉到实际应用程序的所有方面。因此,实际实验结果与相应的模拟结果之间往往存在巨大的差距。这个问题在无线模拟中尤为严重,因为无线信道争用等许多网络现象严重依赖于应用程序流量特征。弥合实验和模拟之间差距的一种方法是将来自网络轨迹的知识纳入模拟。为此,我们在ns-3中构建了一个基于跟踪的应用层模拟器。给定从用户收集的网络跟踪,我们的TraceReplay应用层模型自动生成忠实于ns-3模拟器中实际应用程序的流量。TraceReplay只推断和重放应用层的延迟,就像用户认为的那样,让模拟器控制底层的现象。TraceReplay从单个跟踪中提取应用层特征,并通过使用适当的随机化在模拟中的许多用户中重播该信息。我们的模型也足够通用,可以重播任何应用层协议。仿真模型的验证表明,使用TraceReplay得到的仿真结果与使用其他模型得到的仿真结果有显著差异,更接近实验观测值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trace based application layer modeling in ns-3
Ns-3 is a widely used as a the network simulator of choice by researchers. It contains many well tested and high quality models of network protocols. However, the application layer models of ns-3 are very simplistic, and do not capture all aspects of real life applications. As a result, there is often a huge gap between the results of real experiments and the corresponding simulations. This problem is particularly exacerbated for wireless simulations, where many networking phenomena like wireless channel contention crucially depend on the application traffic characteristics. One way to bridge the gap between experiments and simulations is to incorporate knowledge from network traces into simulations. To this end, our work builds a trace-based application layer simulator in ns-3. Given a network trace collected from a user, our TraceReplay application layer model automatically generates traffic that is faithful to the real application in the ns-3 simulator. TraceReplay infers and replays only application layer delays like user think times, lets the simulator control the lower layer phenomena. TraceReplay extracts application layer characteristics from a single trace, and replays this information across many users in simulation, by using suitable randomization. Our model is also generic enough to replay any application layer protocol. Validation of our simulation model shows that simulation results obtained using TraceReplay are significantly different from those using other models, and are closer to experimental observations.
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