J. Hyun, Jian Li, Chaetae Im, Jae-Hyoung Yoo, J. W. Hong
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引用次数: 12
摘要
随着长期演进(LTE)技术的出现,基于LTE的VoIP业务越来越受欢迎。VoLTE (Voice over LTE)是2012年国内通信公司首次推出并商用化的基于全ip (All-IP) LTE网络的VoIP多媒体服务。随着越来越多的用户使用VoLTE业务,VoLTE流量增加,这可能会导致VoLTE质量下降;因此,为了保持VoLTE业务的QoS,我们需要定期监控LTE业务中的VoLTE业务,并对LTE网络采取适当的措施。作为实现这一目标的第一步,本文提出了一种VoLTE流量分类方法及其分布式处理架构,以实现高吞吐量。在分类方面,我们分析了VoLTE业务的SIP/SDP报文,并使用SIP User-Agent报头字段生成了VoLTE定制的SIP报文签名。由于所提出的分类方法依赖于深度包检测(Deep Packet Inspection, DPI)方法,可以保证分类精度,但存在处理性能较差的问题。因此,我们进一步提出了一种基于HTCondor的分布式并行流量处理架构。
A VoLTE traffic classification method in LTE network
With the emergence of the Long Term Evolution (LTE) technology, LTE based VoIP services are gaining more and more popularity in these days. Voice over LTE (VoLTE) is a VoIP based multimedia service on All-IP based LTE network, which was initially introduced and commercialized by Korea telecommunication companies in 2012. As more and more subscribers use VoLTE service, the VoLTE traffic volume increases, and this may in turn lower down the VoLTE quality; therefore to preserve QoS of VoLTE service, we need to periodically monitor VoLTE traffic among LTE traffic, and perform appropriate actions to LTE network. To be the first step of realizing this goal, in this paper, we propose a VoLTE traffic classification method and its distributed processing architecture to achieve high throughput. For the classification, we analyze SIP/SDP packets for VoLTE service and generate VoLTE tailored SIP packet signature using SIP User-Agent header field. Since the proposed classification method is relying on Deep Packet Inspection (DPI) method, the classification accuracy can be guaranteed, yet it suffers from the poor processing performance. Therefore, we further propose a distributed and parallel traffic processing architecture with the help of HTCondor.