Distributed Online Video Management System Based on Cloud Computing

This study focuses on the design and implementation of a distributed online video management system based on cloud computing. First, this study introduces the basic concepts and development history of distributed systems, highlighting their advantages and challenges. Then, provides an overview of the current state of online video management systems and identify existing problems. To address these issues, this study proposes a novel distributed online video management system that utilizes cloud computing technologies to efficiently manage and distribute video data. In terms of video compression, a new algorithm based on perceptual compression that significantly reduces the size of video data while maintaining high visual quality is proposed. In addition, this study also presents a distributed online video analysis model, which utilizes the Hadoop framework to efficiently process large amounts of video data. Finally, the effectiveness of the proposed distributed online video management system is verified through experiments, demonstrating that it can significantly improve video management efficiency while maintaining high video quality.