EAGER: Bootstrapping NSF-Supported Infrastructure with Open Educational Resources

在过去的十年中，NSF支持的研究基础设施的可用性改变了计算机网络系统领域，使可验证、可重复的大规模实验研究成为可能。这些基础设施项目也是计算机科学和工程教育的重要资产，成千上万的学生通过试验床的教育使用获得了网络和分布式系统的实践经验。然而，尽管有大量的教材可供GENI(全球网络调查环境)等较早的试验台使用，但可用于较新的基础设施项目的教育资源较少。该项目旨在通过为下一代CloudLab、Chameleon Cloud和Fabric平台改编一些最广泛使用的基于Geni的教材来引导这些较新的试验台。该项目将为CloudLab、Chameleon Cloud和Fabric创建一个高质量的体验式学习材料库，包括计算机网络和网络安全方面的各种主题的动手实验作业和项目。对于目前使用GENI的教育工作者来说，该项目将支持无缝过渡到具有更先进实验能力的下一代试验床。它还降低了CloudLab、Chameleon Cloud和Fabric新教育用户的准入门槛，并加强了这些平台现有的教育和推广工作。此外，这些教育活动可以通过让学生做好有效参与先进研究平台和实验方法的准备，在NSF支持的试验台上为广泛的研究工作发挥力量倍增器的作用。NSF支持的开放式试验台为资源较少的机构的研究人员和学生提供复杂的网络和云计算功能。然而，这些平台的设计具有广泛的能力，以支持复杂的最先进的研究实验。因此，新用户的学习曲线可能是陡峭的。在适合高年级本科生或初级研究生的水平上收集开放的教育资源材料将使他们能够更广泛地参与这些平台，无论是教育还是研究。课程材料和相关文物将提供给https://teaching-on-testbeds.github.io的计算机科学教育工作者社区，并将至少在项目持续时间内得到更新和支持。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

In the past decade, the field of computer networking systems has been transformed by the availability of NSF-supported research infrastructure, which enables verifiable, repeatable, large-scale experimental research. These infrastructure projects are also a significant asset for computer science and engineering education, and thousands of students have gained hands-on experience with networks and distributed systems through educational use of testbeds. However, although a substantial library of teaching materials exists for earlier testbeds such as GENI (Global Environment for Network Investigations), there are fewer education resources available for more recent infrastructure projects. This project seeks to bootstrap these newer testbeds by adapting some of the most widely used GENI-based teaching materials for the next-generation CloudLab, Chameleon Cloud, and FABRIC platforms.This project will create a library of high-quality experiential learning materials for CloudLab, Chameleon Cloud, and FABRIC, including hands-on lab assignments and projects on a variety of topics in computer networks and network security. For educators currently using GENI, the project will support a seamless transition to next-generation testbeds with more advanced experimental capabilities. It also lowers the barrier to entry for new education users of CloudLab, Chameleon Cloud, and FABRIC, and reinforces existing education and outreach efforts by these platforms. Furthermore, these education activities can act as a force multiplier for a wide range of research efforts on NSF-supported testbeds, by preparing students to engage effectively with advanced research platforms and experimental methodologies.Open NSF-supported testbeds make sophisticated networking and cloud computing capabilities available to researchers and students at less-resourced institutions. However, these platforms are designed with extensive capabilities to support complex state-of-the-art research experiments. For this reason, the learning curve for new users can be steep. A collection of open educational resource materials at a level appropriate for senior undergraduate or beginning graduate students will enable broader participation in these platforms, both for education and for research.Curriculum materials and related artifacts will be made available to the community of computer science educators at https://teaching-on-testbeds.github.io and will be updated and supported for at least the duration of the project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.