Overcome IT Lab Challenge in COVID-19 with Windows-to-Go

Changshi Yang, Xianping Wang, Ying Luo, G. Stefanek
{"title":"Overcome IT Lab Challenge in COVID-19 with Windows-to-Go","authors":"Changshi Yang, Xianping Wang, Ying Luo, G. Stefanek","doi":"10.1109/IEMCON51383.2020.9284830","DOIUrl":null,"url":null,"abstract":"In the transition of courses from face-to-face to distance learning during the COVID-19 pandemic, students doing labs at home becomes a major challenge. In this paper, we proposed a feasible solution of building a low-cost portable IT laboratory with Windows-to-Go installed on a USB 3.1 flash drive. To verify the feasibility and usability of this portable IT laboratory, we setup two systems on a single test computer for performance comparison — Windows-to-Go installed on a USB 3.1 flash drive and Windows 10 installed on an internal SSD. Focusing on the needs of IT discipline, we manually compared the performance of installing, executing normal IT software and other common IT tasks on both systems. We also compared their performance benchmarks by PassMark. The experiment results show that this low-cost portable IT laboratory can be used as a candidate solution for students doing labs at home.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"29 1","pages":"0791-0796"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMCON51383.2020.9284830","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In the transition of courses from face-to-face to distance learning during the COVID-19 pandemic, students doing labs at home becomes a major challenge. In this paper, we proposed a feasible solution of building a low-cost portable IT laboratory with Windows-to-Go installed on a USB 3.1 flash drive. To verify the feasibility and usability of this portable IT laboratory, we setup two systems on a single test computer for performance comparison — Windows-to-Go installed on a USB 3.1 flash drive and Windows 10 installed on an internal SSD. Focusing on the needs of IT discipline, we manually compared the performance of installing, executing normal IT software and other common IT tasks on both systems. We also compared their performance benchmarks by PassMark. The experiment results show that this low-cost portable IT laboratory can be used as a candidate solution for students doing labs at home.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用Windows-to-Go克服COVID-19中的IT实验室挑战
在2019冠状病毒病大流行期间,在课程从面对面学习向远程学习过渡的过程中,学生在家做实验成为一项重大挑战。在本文中,我们提出了一个可行的解决方案,即在USB 3.1闪存驱动器上安装Windows-to-Go,建立一个低成本的便携式IT实验室。为了验证这个便携式IT实验室的可行性和可用性,我们在一台测试计算机上设置了两个系统进行性能比较-安装在USB 3.1闪存驱动器上的Windows- To - go和安装在内部SSD上的Windows 10。专注于IT规程的需求,我们手动比较了在两个系统上安装、执行正常IT软件和其他常见IT任务的性能。我们还通过PassMark比较了它们的性能基准。实验结果表明,这种低成本的便携式IT实验室可以作为学生在家做实验的备选解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Financial Time Series Stock Price Prediction using Deep Learning Development of a Low-cost LoRa based SCADA system for Monitoring and Supervisory Control of Small Renewable Energy Generation Systems A Systematic Literature Review in Causal Association Rules Mining Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks Analysis of Requirements for Autonomous Driving Systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1