Evaluating Global-scale Distributed Systems using Scalable Network Emulation

国家信息基础设施的力量在过去的十年里已经得到了巨大的扩展。 商业互联网服务和政府赞助的先进研究和教育网络支持一系列国家优先事项。 不幸的是，健壮的、自适应的网络软件的快速开发和部署受到一个根本性障碍的阻碍：原型系统由于其宿主环境--Internet的规模和复杂性而难以评估。该建议旨在消除这一障碍，通过构建一个softwareenvironment评估原型网络软件系统在现实的，可控的，可重复的条件下，通过可扩展的Internetemulation。 所提出的系统ModelNet在高速集群上模拟广域网络，使研究人员能够在可配置的类似Internet的环境中部署未经修改的软件原型，并使它们受到故障和不同网络条件的影响。这项研究将首先调查技术的规模networkemulation数以千计的未经修改的应用程序与aggregatecommunication带宽超过10 Gb/s。 第二，它将使城市能够利用大规模网络仿真作为快速开发和评估下一代互联网服务和应用的主要技术。 最后，该研究将通过提供一个受控环境来使网络服务适应一系列现实的部署场景，寻求网络服务稳健性和性能的根本性改进。

The power of the national information infrastructure has expandedenormously over the last decade. Commercial Internet service andgovernment-sponsored advanced networks for research and educationsupport a range of national priorities. Unfortunately, rapiddevelopment and deployment of robust, adaptive network software ishampered by a fundamental obstacle: prototype systems are difficult toevaluate due to scale and complexity of their host environment---theInternet. This proposal seeks to remove this obstacle by constructing a softwareenvironment for evaluating prototype network software systems underrealistic, controlled, repeatable conditions through scalable Internetemulation. The proposed system, ModelNet, emulates a wide-areanetwork on a high-speed cluster, enabling researchers to deployunmodified software prototypes in a configurable Internet-likeenvironment and subject them to faults and varying network conditions. This research will first investigate techniques for scaling networkemulation to thousands of unmodified applications with aggregatecommunication bandwidth of over 10 Gb/s. Second, it will enable thecommunity to leverage large-scale network emulation as a primarytechnique for rapidly developing and evaluating next-generationInternet services and applications. Finally, the research will seekfundamental improvements in network service robustness and performanceby providing a controlled environment for subjecting network servicesto a range of realistic deployment scenarios.