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计算机系统应用:2020,29(6):64-72
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基于Storm的流媒体实时传输系统
(华中科技大学 人工智能与自动化学院, 武汉 430074)
Real-Time Streaming Media Transmission System Based on Storm
(School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China)
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投稿时间:2019-11-13    修订日期:2019-12-09
中文摘要: 为了满足流媒体视频数据在传输过程中对数据的时效性、传输效率及传输的准确性这些高要求, 本文从实时大数据的流处理应用出发, 通过分析流媒体视频数据在实时传输中遇到的难点和所需的关键技术, 采用Storm流处理技术实现高性能、低延迟的分布式实时传输系统, 在Linux系统上完成Storm框架的搭建, 设计并实现了流媒体视频数据的传输拓扑任务, 同时部署Zookeeper为框架提供高效可靠的分布式协调服务, 并搭建流媒体服务器用于视频推流后的存储及客户端的点播. 在搭建好Storm框架后, 通过了对大规模流媒体视频数据的实时传输测试.
Abstract:During transmission of streaming video data, there are quite high requirements for timeliness, transmission efficiency, and transmission accuracy. This study focuses on the application of real-time big data stream processing, analyzes the difficulties and key technologies required for streaming media video data in real-time transmission, and achieves a high-performance, low-latency distributed real-time transmission system by the Storm processing technology. Then, we set up the Storm framework on Linux system, design and implement the transmission topology task of streaming video data, while deploy Zookeeper to provide efficient and reliable distributed coordination services for this framework, and finally build a streaming server for video storage and client-on-demand. After setting up the target system, it passed the real-time transmission test of large-scale streaming media data.
文章编号:7454     中图分类号:    文献标志码:
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引用文本:
翁小松,张征.基于Storm的流媒体实时传输系统.计算机系统应用,2020,29(6):64-72
WENG Xiao-Song,ZHANG Zheng.Real-Time Streaming Media Transmission System Based on Storm.COMPUTER SYSTEMS APPLICATIONS,2020,29(6):64-72

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