Tracking Down Skype Traffic

Dario Bonfiglio, M. Mellia, M. Meo, Nicolo Ritacca, D. Rossi
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引用次数: 93

Abstract

Skype is beyond any doubt the most popular VoIP application in the current Internet application spectrum. Its amazing success drawn the attention of telecom operators and the research community, both interested in knowing Skype's internal mechanisms, characterizing traffic and understanding users' behavior. In this paper, we dissect the following fundamental components: data traffic generated by voice and video communication, and signaling traffic generated by Skype. We use both active and passive measurement techniques to gather a deep understanding on the traffic Skype generates. From extensive testbed experiments, we devise a source model which takes into account: (i) the service type, i.e., voice or video calls (ii) the selected source Codec, (iii) the adopted transport-layer protocol, and (iv) network conditions. Furthermore, leveraging on the use of an accurate Skype classification engine that we recently proposed, we study and characterize Skype traffic based on extensive passive measurements collected from our campus LAN.
追踪Skype流量
毫无疑问,Skype是当前互联网应用中最流行的VoIP应用程序。它惊人的成功吸引了电信运营商和研究界的注意,他们都对了解Skype的内部机制、流量特征和用户行为感兴趣。在本文中,我们剖析了以下基本组成部分:由语音和视频通信产生的数据流量,以及由Skype产生的信令流量。我们使用主动和被动测量技术来收集对Skype产生的流量的深刻理解。从广泛的试验台实验中,我们设计了一个考虑以下因素的源模型:(i)服务类型,即语音或视频呼叫;(ii)选择的源编解码器;(iii)采用的传输层协议;以及(iv)网络条件。此外,利用我们最近提出的准确Skype分类引擎的使用,我们根据从校园局域网收集的广泛被动测量来研究和表征Skype流量。
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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