EAGER: Adaptive Source Routing on GENI

信源控制路由是一种可以提高网络可靠性和路径质量的技术，其中网络的边缘可以对其分组所采用的路径进行一定的控制。然而，过去对源控路由算法的研究一直基于覆盖网络，而不是通过对交换机或路由器的直接控制-尽管这些系统对性能敏感。这一迫切的项目正在研究自适应多路径、源路由算法以提高实时应用的性能。这些实验使用Geni Alpha，它提供了与真实流量共存和深度可编程性的独特组合，这些都是在这些实验中获得准确结果所必需的。因此，该项目的结果将开发新的、实用的和以实验为基础的技术，以提高可靠性和路径质量，并将通过与基于覆盖的实验进行比较，定量地证明在GENI基础设施上进行实验的价值。结果将通过该软件的出版物、演示文稿和演示来传播。

Source controlled routing, where the edges of the network have some control over the paths taken by their packets, is a promising technique to improve network reliability and path quality. However, past studies of source-controlled routing algorithms have been based on overlay networks rather than via direct control of switches or routers---despite the performance-sensitive nature of these systems.This EAGER project is studying adaptive multipath, source-routing algorithms to improve performance for real-time applications. The experiments use GENI Alpha, which provides a unique combination of coexistence with real traffic and deep programmability, which are essential to obtain accurate results in these experiments. Thus, the results of this project will develop novel, practical and experimentally-grounded techniques to improve reliability and path quality, and it will quantitatively demonstrate the value of experimenting on GENI infrastructure by comparing with overlay-based experiments. Results will be disseminated through publications, presentations, and demos of the software.