CUTE: Instructional Laboratories for Cloud Computing Education

可爱：云计算教育教学实验室

• 批准号: 1245847
• 负责人: Keke Chen
• 金额: $ 20万
• 依托单位: Wright State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1245847&HistoricalAwards=false
• 关键词: CUTE; Instructional; Laboratories; Cloud; Computing

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.

与基于云的应用和技术的快速发展相比，高等教育在云计算方面严重滞后。基于项目组近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CUTE实验室。CUTE实验室涵盖四个主要领域：平台探索实验室、数据密集型可扩展计算实验室、云经济实验室以及安全和隐私实验室。它们被设计为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，因此可以很容易地以低成本采用和调整。一个咨询委员会监督发展和评价。这个项目产生了一个开源库，促进了云计算教育实验室社区的发展。该项目有助于培养理解云计算原理并掌握云计算工程技能的员工。这些实验室被分发到当地的合作大学，并推广到全国的机构进行采用和适应。该项目通过赖特州立大学的GREEN和赖特STEPP项目，并通过与俄亥俄州唯一的公立HBCU中央州立大学的合作，向少数族裔和女学生等代表性不足的群体介绍云计算原理。