We revisit the long-standing problem of providing network QoS to applications, and propose the concept of judicious QoS -- combining the cheaper, best effort IP service with the cloud, which offers a highly reliable infrastructure and the ability to add in-network services, albeit at higher cost. Our proposed J-QoS framework offers a range of reliability services with different cost vs. delay trade-offs, including: i) a forwarding service that forwards packets over the cloud overlay, ii) a caching service, which stores packets inside the cloud and allows them to be pulled in case of packet loss or disruption on the Internet, and iii) a novel coding service that provides the least expensive packet recovery option by combining packets of multiple application streams and sending a small number of coded packets across the more expensive cloud paths. We demonstrate the feasibility of these services using measurements from RIPE Atlas and a live deployment on PlanetLab. We also consider case studies on how J-QoS works with services up and down the network stack, including Skype video conferencing, TCP-based web transfers, and cellular access networks.
翻译:我们重新审视了向应用程序提供网络QOS的长期问题,并提出了明智的QOS概念 -- -- 将廉价、最努力的IP服务与云层结合起来,提供高度可靠的基础设施和增加网络内服务的能力,尽管成本较高。我们提议的J-QOS框架提供一系列可靠服务,其成本与延迟交易是不同的,包括:i) 将数据包传送到云层的转发服务;ii) 缓存服务,将数据包储存在云层内,并允许在互联网上丢失或中断时将其提取;iii) 新型编码服务,通过将多种应用流的包包组合合并起来,并在费用更高的云道上发送少量编码包,提供最廉价的包回收选择;我们通过对RIPE Atlas的测量和在PlanetLab的现场部署,展示了这些服务的可行性;我们还审议了关于J-QOS如何与服务在网络堆叠中上和下运行的案例研究,包括Skype视频会议、基于TCP的网络传输和蜂窝接入网络。