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Mobile Application for Storage and Retrieval of e-learning videos Using Hadoop


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Abstract


With the rapid advancement of low-cost mobile phones and fast internet access, students/learners are using smart phones for the academic purposes. Mobile learning (m-learning) has been recognized as a competent method of seeking knowledge. As the quantity of users and lecture video contents is increasing, the deployment of m-learning becomes dubious because of limited memory space in mobile phones. The learning materials like ppt., docs, occupy less space but lecture videos consume a lot of memory in a mobile device. Therefore, there should be some measure where students can store as well as access lecture videos. Hadoop has been evolved as a promising technology to overcome the problems in m-learning. It provides reliable, customized environments for end-users. We present a new mobile application for a mobile learning system, which is integrated with Hadoop, for storage and retrieval of lecture videos from mobile phone to the Hadoop Distributed File System (HDFS). Registered user of the application can perform the functions like upload video, search a video file and download a video file. We have calculated computational time to upload, search and download various size of video files (maximum size is 1.3 GB). The proposed application can be utilized where there is a high demand of exhaustive teaching and learning in higher education.

KeyWords
Mobile learning, Hadoop, Hadoop Distributed File System (HDFS).



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