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A Model Approach to the Estimation of Peer-to-Peer Traffic Matrices

机译：对等流量矩阵估计的模型方法

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摘要

Peer-to-Peer (P2P) applications have witnessed an increasing popularity in recent years, which brings new challenges to network management and traffic engineering (TE). As basic input information, P2P traffic matrices are of significant importance for TE. Because of the excessively high cost of direct measurement, many studies aim to model and estimate general traffic matrices, but few focus on P2P traffic matrices. In this paper, we propose a model to estimate P2P traffic matrices in operational networks. Important factors are considered, including the number of peers, the localization ratio of P2P traffic, and the network distance. Here, the distance can be measured with AS hop counts or geographic distance. To validate our model, we evaluate its performance using traffic traces collected from both the real P2P video-on-demand (VoD) and file-sharing applications. Evaluation results show that the proposed model outperforms the other two typical models for the estimation of the general traffic matrices in several metrics, including spatial and temporal estimation errors, stability in the cases of oscillating and dynamic flows, and estimation bias. To the best of our knowledge, this is the first research on P2P traffic matrices estimation. P2P traffic matrices, derived from the model, can be applied to P2P traffic optimization and other TE fields.
机译：对等（P2P）应用程序近年来受到越来越多的欢迎，这给网络管理和流量工程（TE）带来了新的挑战。作为基本输入信息，P2P流量矩阵对于TE至关重要。由于直接测量的成本过高，因此许多研究旨在对通用流量矩阵进行建模和估计，但很少有研究关注P2P流量矩阵。在本文中，我们提出了一个模型来估计运营网络中的P2P流量矩阵。需要考虑的重要因素包括对等体的数量，P2P流量的本地化比率以及网络距离。在此，可以使用AS跳数或地理距离来测量距离。为了验证我们的模型，我们使用从真实的P2P视频点播（VoD）和文件共享应用程序收集的流量跟踪评估其性能。评估结果表明，所提出的模型在几个指标上均优于其他两个典型模型来估计一般交通矩阵，包括时空估计误差，振荡和动态流动情况下的稳定性以及估计偏差。据我们所知，这是对P2P流量矩阵估计的第一项研究。从模型导出的P2P流量矩阵可以应用于P2P流量优化和其他TE领域。

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