迈向低延迟的网络切片,抵抗无响应的流量

Paulo Pinto, Amineh Mazandarani, Pedro Amaral, Luís Bernardo
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引用次数: 0

摘要

本文研究了网络必须具备哪些机制才能为应用程序提供非常低延迟的服务(具有最大的端到端数据包延迟)。我们假设非常具体的要求,在文献中没有看到,这提高了挑战水平:i)应用程序可能对来自网络的流量警告没有响应;ii)应用程序不通知或需要任何网络资源,就像今天的互联网一样(即,没有准入控制程序)。我们提出了一种具有最小状态信息和良好可扩展性的体系结构/算法。显然,它并不适用于广泛的互联网。更重要的是,该体系结构不是tcp友好的(因为控制回路必须短于往返时间(RTT)的幅度和振荡,并且数据包丢失更高)。相反,它适用于基于具有独立队列和线带宽的物理网络虚拟化的端到端切片网络。它是为交互式应用程序和某些实时应用程序设计的。我们使用普通的背压控制,通过路由器之间的合作来隔离违规流量。我们特别关注高负荷的情况,因为它们在未来将非常普遍。一个目标是达到一种可预测的网络行为,这种行为在极限(严重的网络过载)下保持不变,与当前的Internet相反。在未来,新的基于速度的应用拥塞控制算法可以被设计成最大限度地利用这种类型的网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a Low Latency Network-Slice Resistant to Unresponsive Traffic
This paper studies what mechanisms a network must have to offer a very low-latency service to applications (featuring a maximum end-to-end packet delay). We assume very concrete requirements, not seen in the literature, that raise the challenge level: i) applications might be unresponsive to traffic warnings from the network; and ii) applications do not inform or require any network resources, exactly as the Internet works today (i.e., there is no admission control procedures). We present an architecture/algorithm with a minimum of state information and good scalability properties. Obviously, it is not applicable to the wide Internet. Even more, the architecture is not TCP-friendly (because control loops must be shorter than the Round Trip Time (RTT) magnitudes and oscillations, and packet losses are higher). Instead, it is appropriate to an end-to-end slice network based on a virtualization of the physical network with independent queues and line bandwidths. It is designed for interactive applications and for certain real-time ones. We use plain backpressure control supported by cooperation amongst the routers to isolate offending traffic. We are particularly concerned in situations of very high load, as they will be very common in the future. One objective is to reach a predictable network behaviour that in the limit (heavy network overload) is maintained, contrary to the current Internet. In the future, new pace-based congestion control algorithms for applications can be designed to take the most out of this type of network.
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