威布尔分布在互联网流量建模中的作用

M. A. Arfeen, K. Pawlikowski, D. McNickle, A. Willig
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引用次数: 30

摘要

本文重点介绍了双参数威布尔分布在互联网流量建模中的重要作用。互联网流量在结构上由会话、流和包组成;并在其端到端旅程中遍历不同层次的服务提供商。观察到个人用户接入流量模式的不变重尾,促使我们研究从接入到核心网的流量转换/聚合。我们发现威布尔分布的灵活性可以在到达间级别捕捉这种转换。我们还提出并证明了我们的假设,即给定特定于某个访问媒体或层的合适尺度参数,威布尔形状参数可用于从会话到流和数据包级别的内部到达。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The role of the Weibull distribution in Internet traffic modeling
This paper highlights the important role played by the two parameter Weibull distribution in Internet traffic modeling. Internet traffic structurally consists of sessions, flows and packets; and traverses through different tiers of service providers during its end-to-end journey. Observation of invariant heavy tails in access traffic patterns of individual users has motivated us to investigate traffic transformation/aggregation as it traverses from access to core network. We found that the flexible nature of the Weibull distribution can capture this transformation at inter-arrival level. We also present and justify our hypothesis that given a suitable scale parameter specific to a certain access media or tier, the Weibull shape parameter can be used to zoom in from session to flow and to the packet level inter-arrivals.
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