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.

与云应用和技术的快速发展相比，云计算高等教育严重滞后。基于项目组近三年的云计算教育经验，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实验室涵盖四大领域：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。它们旨在使用公开的免费云资源和开源软件，对计算基础设施没有特殊要求，因此可以以较低的成本轻松采用和适应。咨询委员会负责监督开发和评估。该项目产生了一个开源库，该库培育了云计算教育实验室社区。该项目有助于培养一支了解云计算原理并掌握工程技能的员工队伍。这些实验室被分发给当地的合作大学，并推广到全国范围内的机构以供采用和调整。该项目通过赖特州立大学的 GREEN 和 Wright STEPP 项目，以及与俄亥俄州唯一一所公立 HBCU 中央州立大学的合作，向少数民族和女学生等弱势群体的学生介绍云计算原理。