Analysis of KUMA system developed for e-Learning

When an instructor creates an educational content with narration on Microsoft PowerPoint, it is the easiest method that he/she uses one's built-in feature of recording narration because there is no need to install any other software. We constructed the content authoring system for e-Learning, named Kumamoto Universal and Multipurpose Authoring (KUMA) system, which is based on cloud computing. Using the system, an instructor only has to upload the slide with narration created on PowerPoint to the system, and then he/she can publish a Windows Media streaming video and a PDF slide. The application of the system is the website of streaming video lectures contributed by researchers in the field of pulsed power, which we call “Streaming Book on Pulsed Power Engineering”. Another application of it is the website of video lectures for graduate students as a part of blended learning. To deliver streaming videos to more than 100 students simultaneously, we need to configure quality of encoding streaming videos and estimate the amount of transferring data and the network traffic load. The purpose of this study is to examine the traffic load for streaming e-Learning content in applications of KUMA system. In this work, we use Windows Media Load Simulator to simulate the connections from more than 100 students.

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