Scalable programmable inbound traffic engineering

Scalable programmable inbound traffic engineering
复制标题

可扩展的可编程入站流量工程

DOI:
10.1145/2774993.2775063
复制
发表时间:
2015
期刊:
Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking Research
影响因子:
--
通讯作者:
J. Rexford
J. Rexford
中科院分区:
--
文献类型:
--
作者:
Peng Sun;Laurent Vanbever;J. Rexford

文献摘要

被引文献

相似文献

随着视频流和云服务的兴起,企业和接入网络接收的流量远远超过发送的流量,必须依赖互联网来提供良好的端到端性能。这些边缘网络通常连接到多个ISP以获得更好的性能和可靠性,但只有有限的方法来影响其ISP中的哪个ISP承载每个服务的流量。在本文中,我们提出了Sprite,灵活的入站流量工程(TE)的软件定义的解决方案。Sprite通过向每个ISP通告不同的公共IP前缀,并对出站请求流量执行源网络地址转换(SNAT),对入站流量提供直接的细粒度控制。我们的设计实现了数据平面(通过在靠近客户端的边缘交换机上执行SNAT)和控制平面(通过让本地代理安装SNAT规则)的可扩展性。控制器将基于客户端和服务器名称以及性能指标的高级TE目标转换为基于实时流量和性能测量的动态网络策略。我们评估雪碧的实时数据从“在野外”的实验基于EC2的测试平台,并演示雪碧如何动态地适应网络策略,以实现高层次的TE目标,如平衡YouTube的互联网服务提供商之间的流量,以提高视频质量。
With the rise of video streaming and cloud services, enterprise and access networks receive much more traffic than they send, and must rely on the Internet to offer good end-to-end performance. These edge networks often connect to multiple ISPs for better performance and reliability, but have only limited ways to influence which of their ISPs carries the traffic for each service. In this paper, we present Sprite, a software-defined solution for flexible inbound traffic engineering (TE). Sprite offers direct, fine-grained control over inbound traffic, by announcing different public IP prefixes to each ISP, and performing source network address translation (SNAT) on outbound request traffic. Our design achieves scalability in both the data plane (by performing SNAT on edge switches close to the clients) and the control plane (by having local agents install the SNAT rules). The controller translates high-level TE objectives, based on client and server names, as well as performance metrics, to a dynamic network policy based on real-time traffic and performance measurements. We evaluate Sprite with live data from "in the wild" experiments on an EC2-based testbed, and demonstrate how Sprite dynamically adapts the network policy to achieve high-level TE objectives, such as balancing YouTube traffic among ISPs to improve video quality.