EAGER: Adaptive Source Routing on GENI

源控制路由是一种很有前途的提高网络可靠性和路径质量的技术，在这种技术中，网络的边缘对其数据包所经过的路径有一定的控制。然而，过去对源控制路由算法的研究是基于覆盖网络，而不是通过直接控制交换机或路由器——尽管这些系统对性能敏感。这个EAGER项目正在研究自适应多路径、源路由算法，以提高实时应用程序的性能。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，这对于在这些实验中获得准确的结果至关重要。因此，该项目的结果将开发新颖，实用和实验基础的技术，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.