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Design of the mass multimedia files storage architecture based on Hadoop

机译:基于Hadoop的海量多媒体文件存储架构设计

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With the development of social network and video sites, the amount of images and videos being uploaded to the internet is rapidly increasing, and it is more and more difficult to storage and process the mass network images and videos. How to storage, manage and classify mass network images and videos effectively, and provide an excellent experience for users has been an urgent problem. Hadoop distributed file system (HDFS) becomes a representative cloud storage platform, benefiting from its reliable, scalable and low-cost storage capability. However, HDFS is not designed for storing mass small files. This paper presents a Hadoop-based mass multimedia files storage architecture. The core idea of this architecture is that merge the small images and video files to a Bundle, and provide a unified interface to handle mass images and videos. It's a good solution to the problem of small files. The experimental results show that the approach can achieve a better performance.
机译:随着社交网络和视频站点的发展,上传到互联网的图像和视频数量迅速增加,并且存储和处理海量网络图像和视频变得越来越困难。如何有效地存储,管理和分类海量网络图像和视频,并为用户提供出色的体验一直是一个迫在眉睫的问题。 Hadoop分布式文件系统(HDFS)受益于其可靠,可扩展且低成本的存储功能,从而成为代表性的云存储平台。但是,HDFS并非用于存储大量小文件。本文提出了一种基于Hadoop的海量多媒体文件存储架构。该体系结构的核心思想是将小图像和视频文件合并到Bundle中,并提供统一的接口来处理大量图像和视频。这是解决小文件问题的好方法。实验结果表明,该方法可以取得较好的性能。

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