NeTS-NBD: Generating Realistic Network Traffic and Topologies

提高全局计算和通信基础设施的安全性、健壮性和性能的主要限制因素之一是难以大规模地将新协议、应用程序和服务应用于实际的网络条件。仿真技术的最新进展使在现有硬件和操作系统上运行未经修改的应用程序成为可能。这些应用可以准确地服从于由数万个路由器和每秒10千兆带宽的聚合带宽组成的拓扑的广域通信特性。鉴于这些进步，进行现实的大规模实验的主要挑战在于模仿什么，而不是如何模仿。社区目前缺乏以下能力：i)生成反映互联网重要特征的拓扑，ii)用链路容量、延迟和损失率注释拓扑，以及iii)使给定拓扑适应实际的背景流量水平。该提案的目标是开发一个统一的基础设施，用于创建实际的网络拓扑，并使用适当的带宽、延迟和往返时间分布准确地注释它们。此外，还可以将单个拓扑链接应用于实际的数据包到达过程。更广泛的影响：总的来说，本提案的组成部分有可能对社区进行精确反映当前和未来各种网络场景的控制实验的能力产生质变。这样的能力将会极大地加速

One of the primary limiting factors to improving the security, robustness, and performance of the global computation and communication infrastructure is the difficulty of subjecting novel protocols, applications, and services to realistic network conditions, at scale. Recent advancements in emulation technology enable running unmodified applications on stock hardware and operating systems. These applications can be accurately subject to the wide-area communication characteristics of topologies consisting of tens of thousands of routers and 10 Gigabits per second of aggregate bandwidth. Given these advancements, the principal challenge in carrying out realistic large-scale experiments lies in what to emulate rather than how to emulate it. The community currently lacks the ability to: i) generate topologies that reflect important characteristics of the Internet, ii) annotate the topologies with link capacities, latencies, and loss rates, and iii) subject a given topology to realistic levels of background traffic.The goal of this proposal is to develop a unified infrastructure for creating realistic network topologies and to accurately annotate them with appropriate distributions for bandwidths, latencies, and round trip times. Further, it will be possible to subject individual topology links to realistic packet arrival processes. Broader Impact: Taken together, the components of this proposal have the potential to effect a qualitative change in the community's ability to conduct controlled experiments that accurately reflect a variety of both current and future network scenarios. Such ability will then dramatically accelerate the