Architectures and Design Methodologies for Scalable and Sustainable Remote Laboratory Infrastructures

Author:

Thames J. Lane1,Abler Randal1,Hyder Andrew1,Wellman Robert1,Schaefer Dirk1

Affiliation:

1. Georgia Institute of Technology, Georgia, USA

Abstract

With the increasing demand for distance learning opportunities in the higher education sector, there is an ever-growing need for the design and deployment of remote laboratories, especially for engineering, science, and technology curricula. In order to accommodate the offering of entire degrees for distance learning students whose curricula require remote laboratories, scalable information technology infrastructures that support the large scale use and deployment of these remote laboratories must exist. This chapter provides a discussion of architectures and design methodologies using technology such as command and control communications, Web 2.0, and cloud computing, which provide a scalable, manageable, and sustainable technological infrastructure-basis for large scale remote laboratory deployment.

Publisher

IGI Global

Reference18 articles.

1. Datta, K., & Sass, R. (2007). RBoot: Software infrastructure for a remote FPGA laboratory. In 15th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (pp. 343-344). IEEE FCCM.

2. Teleoperation in the undergraduate physics laboratory-teaching an old dog new tricks

3. An architecture for multi-user remote laboratories.;S.Esche;World Transactions on Engineering and Technology Education,2003

4. Experimenting from a distance—remotely controlled laboratory (RCL)

5. Hamza, K., Alhalabi, B., & Marcovitz, D. (2000). Remote labs. In C. Crawford, et al. (Eds.), The Society for Information Technology and Teacher Education International Conference, (pp. 155-161).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptable Digital Labs - Motivation and Vision of the CrossLab Project;2022 IEEE German Education Conference (GeCon);2022-08-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3