Integrated fluid and packet network simulations

G. Riley, Talal M. Jaafar, R. Fujimoto
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引用次数: 29

Abstract

A number of methods exist that can be used to create simulation models for measuring the performance of computer networks. The most commonly used method is packet level simulation, which models the detailed behavior of every packet in the network, and results in a highly accurate picture of overall network behavior. A less frequently used, but sometimes more computationally efficient, method is the fluid model approach. In this method, aggregations of flows are modeled as fluid flowing through pipes, and queues are modeled as fixed capacity buckets. The buckets are connected via pipes, where the maximum allowable flow rate of fluid in the pipes represents the bandwidth of the communication links being modeled. Fluid models generally result in a less accurate picture of the network's behavior since they rely on aggregation of flows and ignore actions specific to individual flows. We introduce a new hybrid simulation environment that leverages the strong points of each of these two modeling methods. Our hybrid method uses fluid models to represent aggregations of flows for which less detail is required, and packet models to represent individual flows for which more detail is needed. The result is a computationally efficient simulation model that results in a high level of accuracy and detail in some of the flows, while abstracting away details of other flows. We show a computational speedup of more than twenty in some cases, with little reduction in accuracy of the simulation results.
集成流体和分组网络模拟
有许多方法可以用来创建模拟模型来测量计算机网络的性能。最常用的方法是包级模拟,它对网络中每个包的详细行为建模,并得出一个非常准确的网络整体行为的图像。一种较少使用但有时计算效率更高的方法是流体模型方法。在此方法中,将流的聚合建模为流经管道的流体,将队列建模为固定容量桶。储桶通过管道连接,管道中流体的最大允许流速代表被建模的通信链路的带宽。流体模型通常不能准确描述网络的行为,因为它们依赖于流的聚合,而忽略了个别流的特定行为。我们介绍了一个新的混合仿真环境,它利用了这两种建模方法的优点。我们的混合方法使用流体模型来表示需要较少细节的流的聚合,使用包模型来表示需要更多细节的单个流。其结果是一个计算效率高的仿真模型,在某些流中产生了高水平的准确性和细节,同时抽象掉了其他流的细节。在某些情况下,我们显示了超过20%的计算加速,而模拟结果的准确性几乎没有降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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