Muhammad Noman Saeed, Ahmad Mufarreh Al Mufarreh, K. M. Noaman, Muhammad Arshad, Atiq Rafiq Shaikh
{"title":"JUX - A Cloud Hosted Learning Management System Based on OpenedX","authors":"Muhammad Noman Saeed, Ahmad Mufarreh Al Mufarreh, K. M. Noaman, Muhammad Arshad, Atiq Rafiq Shaikh","doi":"10.1109/CICN56167.2022.10008279","DOIUrl":null,"url":null,"abstract":"Higher education across the world during the COVID pandemic changes its knowledge delivery mode from on-campus studies to off-campus studies, i.e. E-Learning. The e-education provider must be competent in order to create a robust learning environment that can handle the difficulties facing teachers, students, and system administrators at this rapid pace of change. The system administrator needs to improve the network connectivity, bandwidth etc. for providing seamless connectivity for E-Learning alongside their campus network services. The challenge of providing smooth services for e-learning is sometimes hurdled the other network services for the campus and therefore the management and administrator suggest deploying the e-learning services on the cloud and setting apart the campus network services. This will solve the problem of available network limits can face by the institute due to the limited amount of hardware and bandwidth issues. Furthermore, the cloud deployment reduces the capital as well as the recurring cost of running the services. This paper will focus to address the problem defined above and providing Amazon Web Services (AWS) based cost-effective cloud architecture for OpenedX based learning solutions. This study is expected to demonstrate a technological solution for the process of implementing a cloud-based LMS.","PeriodicalId":287589,"journal":{"name":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN56167.2022.10008279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Higher education across the world during the COVID pandemic changes its knowledge delivery mode from on-campus studies to off-campus studies, i.e. E-Learning. The e-education provider must be competent in order to create a robust learning environment that can handle the difficulties facing teachers, students, and system administrators at this rapid pace of change. The system administrator needs to improve the network connectivity, bandwidth etc. for providing seamless connectivity for E-Learning alongside their campus network services. The challenge of providing smooth services for e-learning is sometimes hurdled the other network services for the campus and therefore the management and administrator suggest deploying the e-learning services on the cloud and setting apart the campus network services. This will solve the problem of available network limits can face by the institute due to the limited amount of hardware and bandwidth issues. Furthermore, the cloud deployment reduces the capital as well as the recurring cost of running the services. This paper will focus to address the problem defined above and providing Amazon Web Services (AWS) based cost-effective cloud architecture for OpenedX based learning solutions. This study is expected to demonstrate a technological solution for the process of implementing a cloud-based LMS.