传统IP测量:当今多媒体IP网络的变化

D. Ciullo, M. Mellia, M. Meo
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引用次数: 12

摘要

在本文中,我们给出了从FastWeb网络上的真实痕迹收集的测量结果,FastWeb是意大利主要的宽带电信公司。该网络依赖于完全的IP架构,并通过单个宽带连接向用户提供数据、VoIP和IPTV服务。这项工作的目的是在各种业务产生的混合流量的新型网络环境中评估传统的测量指标,并识别这种混合流量可能导致的流量属性变化。我们的测量活动基于被动技术,提供数据包和连接/流级别的流量特征,并关注时间演化、分布、长距离依赖和周期性特性。我们发现数据流量的主要特征保持不变,显示了数据包和流级别的LRD属性。由于源的周期性,VoIP和IPTV流量呈现周期性的数据包到达过程。考虑VoIP流量到达过程,传统的马尔可夫假设仍然成立。
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Traditional IP measurements: What changes in a today multimedia IP network
In this paper we present measurement results collected from real traces on the network of FastWeb, an Italian ISP which is the main broadband telecommunication company in Italy. The network relies on a fully IP architecture and delivers to the user data, VoIP and IPTV services over a single broadband connection. The aims of this work are the evaluation of traditional measurement indexes in a novel network environment with a mixture of traffic generated by various services and the identification of possible changes of the traffic properties due to this traffic mixture. Our measurement campaign, based on passive techniques, provides traffic characterization at both the packet and the connection/flow levels and focuses on time evolution, distributions, long range dependence and periodicity properties. We discover that the main characteristics of data traffic are kept unmodified, showing LRD properties both at the packet and flow levels. VoIP and IPTV traffic instead presents periodicities of the packet arrival process, due to periodicity of the sources. Considering the VoIP flow arrival process, the traditional Markovian assumption still holds true.
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