卸载媒体流量到可编程数据平面交换机

Elie F. Kfoury, J. Crichigno, E. Bou-Harb
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引用次数: 9

摘要

据估计,大约80%的互联网流量是媒体流量。其中大部分是由终端用户相互通信产生的(例如,语音、视频会话)。允许可能在网络地址转换(NAT)之后的用户通信的关键元素是中继服务器。本文提出了一种将媒体流量从中继服务器分流到可编程交换机的方案。所提出的方案依赖于P4交换机的能力,该交换机具有自定义解析器来解封装和处理承载媒体流量的数据包。然后,交换机对数据包应用多个交换动作。由于这些操作很简单,并且共同模拟了中继服务器,因此该方案能够将中继功能移动到以每秒太比特的速度运行的数据平面。性能评估表明,所提出的方案不仅在服务质量(QoS)参数(无丢包、最小延迟、可忽略延迟变化、高平均意见得分)方面产生了最佳结果,而且比目前的解决方案具有更好的可扩展性。使用高达35Gbps的媒体流量或相当于400,000个同时进行的G.711媒体会话(仅受流量生成器而不是交换机的限制)进行的评估显示,基于交换机的解决方案(使用交换容量的$\sim \text{l}$%)的理想操作。相比之下,具有用于评估的现代CPU模型的中继服务器每个核心可以同时处理多达900个G.711媒体会话。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Offloading Media Traffic to Programmable Data Plane Switches
According to estimations, approximately 80% of Internet traffic represents media traffic. Much of it is generated by end users communicating with each other (e.g., voice, video sessions). A key element that permits the communication of users that may be behind Network Address Translation (NAT) is the relay server. This paper presents a scheme for offloading media traffic from relay servers to programmable switches. The proposed scheme relies on the capability of a P4 switch with a customized parser to de-encapsulate and process packets carrying media traffic. The switch then applies multiple switch actions over the packets. As these actions are simple and collectively emulate a relay server, the scheme is capable of moving relay functionality to the data plane operating at terabits per second. Performance evaluations show that the proposed scheme not only produces optimal results regarding Quality of Service (QoS) parameters (no packet loss, minimum delay, negligible delay variation, high Mean Opinion Score) but also scales much better than current solutions. Evaluations conducted with up to 35Gbps of media traffic or its equivalent of 400,000 simultaneous G.711 media sessions (limited only by the traffic generator rather than by the switch) show an ideal operation of the switch-based solution (using$\sim \text{l}$% of the switching capacity). In contrast, a relay server with a modern CPU model used for evaluations can process up to 900 simultaneous G.711 media sessions per core.
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