EAGER: Bootstrapping NSF-Supported Infrastructure with Open Educational Resources

在过去的十年中，由于nsf支持的研究基础设施的可用性，计算机网络系统领域已经发生了转变，这使得可验证的、可重复的、大规模的实验研究成为可能。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教育使用测试平台获得了网络和分布式系统的实际操作经验。然而，尽管对于早期的测试平台（如GENI（网络调查的全球环境））存在大量的教学材料库，但是对于最近的基础设施项目来说，可用的教育资源却很少。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测试平台。该项目将为CloudLab、变色龙云和FABRIC创建一个高质量的体验式学习材料库，包括关于计算机网络和网络安全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，该项目将支持无缝过渡到具有更先进实验能力的下一代测试平台。它还降低了CloudLab、变色龙云和FABRIC的新教育用户的进入门槛，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培养学生有效地参与先进的研究平台和实验方法，为nsf支持的试验台上的广泛研究工作提供力量倍增器。开放的nsf支持的试验台为资源匮乏的机构的研究人员和学生提供了复杂的网络和云计算能力。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。出于这个原因，新用户的学习曲线可能会很陡峭。一个适合高年级本科生或研究生的水平的开放教育资源材料的集合，将使这些平台更广泛地参与教育和研究。课程材料和相关工件将在https://teaching-on-testbeds.github.io上提供给计算机科学教育者社区，并至少在项目期间得到更新和支持。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知识价值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.