Self-similarity in World Wide Web traffic: evidence and possible causes
Self-similarity in World Wide Web traffic: evidence and possible causes
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DOI：
10.1145/233013.233038
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发表时间：
1996-05
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影响因子：
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通讯作者：
M. Crovella;Azer Bestavros
中科院分区：
文献类型：
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作者：
M. Crovella;Azer Bestavros
最近，自相似性的概念已被证明适用于广域网和局域网流量。在本文中，我们研究的机制，引起网络流量的自相似性。我们提出了一个假设的解释可能的自相似性的流量通过使用一个特定的子集的广域流量：由于万维网（WWW）的流量。使用一组广泛的跟踪NCSA马赛克的实际用户执行，反映了超过50万个请求的WWW文件，我们研究的依赖结构的WWW流量。虽然我们的测量是不确定的，我们显示的证据表明，WWW流量表现出的行为是一致的自相似流量模型。然后，我们表明，这种交通的自相似性可以解释的基础上的WWW文档大小的分布，缓存和用户偏好的文件传输的影响，用户的“思考时间”的影响，和叠加的许多这样的传输在局域网。为了做到这一点，我们依赖于从我们的轨迹和从三十多个万维网站点独立收集的数据中经验测量的分布。
Recently the notion of self-similarity has been shown to apply to wide-area and local-area network traffic. In this paper we examine the mechanisms that give rise to the self-similarity of network traffic. We present a hypothesized explanation for the possible self-similarity of traffic by using a particular subset of wide area traffic: traffic due to the World Wide Web (WWW). Using an extensive set of traces of actual user executions of NCSA Mosaic, reflecting over half a million requests for WWW documents, we examine the dependence structure of WWW traffic. While our measurements are not conclusive, we show evidence that WWW traffic exhibits behavior that is consistent with self-similar traffic models. Then we show that the self-similarity in such traffic can be explained based on the underlying distributions of WWW document sizes, the effects of caching and user preference in file transfer, the effect of user "think time", and the superimposition of many such transfers in a local area network. To do this we rely on empirically measured distributions both from our traces and from data independently collected at over thirty WWW sites.