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PARALLEL INTERNET TRAFFIC SIMULATOR WITH SELF-SIMILAR SCALE-FREE NETWORK MODELS

机译:具有自相似无标度网络模型的并行互联网流量仿真器

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摘要

The paper presents a platform, named Parallel Internet Traffic Simulator (PITS), which allows simulating Internet traffic and accurately replicating appropriate stochastic processes using scale-free models with self-similar topology. The experiments compare simulation of large-size scale-free networks when using different number of CPU's running in parallel in the platform cluster and note the differences in simulation time as well as some characteristics related to the efficiency of the simulation distribution is possible and if there are limitations in single-CPU simulation. We consider that PITS shows interesting properties when compared to other traffic generators and therefore it represents a real simulation tool for controlled traffic generation over real networks which allows to accurately analyze and evaluate the performance of network, transport, and application-level protocols.
机译:本文提出了一个名为Parallel Internet Traffic Simulator(PITS)的平台,该平台可以使用自相似拓扑的无标度模型来模拟Internet流量并准确地复制适当的随机过程。实验比较了在平台集群中使用不同数量的CPU并行运行时的大型无标度网络的仿真,并注意到仿真时间的差异以及与仿真分布效率相关的某些特征是否可行,以及是否存在这种情况。是单CPU仿真的局限性。我们认为,与其他流量生成器相比,PITS显示出有趣的属性,因此,它代表了用于在实际网络上控制流量生成的真实模拟工具,该工具可以准确地分析和评估网络,传输和应用程序级协议的性能。

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