Development of Distributed Multimedia System for Ensuring Quality of Experience (QoE) on Video-on-Demand (VOD) Streaming Service

Abstract

The rise of technological adoption of video-based information distribution accelerated by the COVID-19 pandemic leads to a substantial increase in video streaming on-demand service users. Video streaming services such as Twitch, and YouTube have enormous amount of active users so the system developers need to develop a system capable of handling numerous requests. The increase of video streaming on-demand service users poses a challenge for system developers to guarantee the Quality of Experience (QoE) for all system users. Said surge of users also resulted in high resource usage to serve each user while securing QoE. In order to ensure the QoE on video streaming on-demand service, this work develops the system using the waterfall model that implements a distributed approach for the video streaming service system. The system has reverse proxy and load balancing capabilities to forward and equally distribute HTTP requests and uses DASH to segment the video file to stream the video without sending the whole file. The developed system for this work subjectively ensures the QoE with a mean opinion score (MOS) of 4.434 from 53 respondents.