CUTE: Instructional Laboratories for Cloud Computing Education

与基于云计算的应用和技术的快速发展相比，高等教育的云计算教育严重滞后。基于项目组过去三年在云计算教育方面的经验，本项目开发并评估了一套云计算教育实验室，简称CUT实验室。Cut实验室涵盖四大领域：平台探索实验室、数据密集型可伸缩计算实验室、云经济实验室和安全与隐私实验室。它们旨在使用公开可用的免费云资源和开源软件，对计算基础设施没有特殊要求，因此可以轻松地以低成本采用和改编。一个咨询委员会监督开发和评估。这个项目产生了一个开放源代码库，它培育了一个云计算教育实验室社区。该项目有助于培养理解云计算原理并掌握工程技能的工作人员。这些实验室被传播到当地合作的大学，并推广到全国各地的机构供采用和适应。该项目通过莱特州立大学的GREEN和Wright Stepp项目，以及通过与俄亥俄州唯一的公立HBCU中央州立大学的合作，向来自少数族裔和女性学生等代表不足的群体的学生介绍云计算原理。

Compared to the fast development of cloud-based applications and technology, higher education on cloud computing is seriously lagging behind. Built upon the project team's experience on cloud computing education in the past three years, a set of laboratories for cloud computing education, referred to as the CUTE labs, are developed and evaluated by this project. The CUTE labs cover four major areas: the platform exploration labs, the data intensive scalable computing labs, the cloud economics labs and the security and privacy labs. They are designed to use publicly available free cloud resources and open source software with no special requirement on computing infrastructures, so that they can be easily adopted and adapted at low cost. An advisory committee oversees the development and evaluation. This project results in an open source library that fosters a community of cloud computing educational labs. This project helps educate a workforce that understands the principles and masters engineering skills of cloud computing. The labs are disseminated to local collaborating universities and promoted to institutions nationwide for adoption and adaption. The project introduces the cloud computing principles to students from underrepresented groups such as minority and female students via Wright State's GREEN and Wright STEPP programs, and via the collaboration with Central State University, the only public HBCU in Ohio.