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A video cloud platform combing online and offline cloud computing technologies

机译：融合在线和离线云计算技术的视频云平台

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摘要

With the rapid growth of video data from various sources, like security and transportation surveillance, there arise requirements for both online real-time analysis and offline batch processing of large-scale video data. Existing video processing systems fall short in addressing many challenges in large-scale video processing, for example performance, data storage, and fault tolerance. The emerging cloud computing and big data techniques shed lights to intelligent processing for large-scale video data. This paper proposes a general cloud-based architecture and platform that can provide a robust solution to intelligent analysis and storage for video data, which is named as BiF (Batch processing Integrated with Fast processing) architecture. We have implemented the BiF architecture using both Hadoop platform and Storm platform, which are typical offline batch processing cloud platform and online real-time processing cloud platform, respectively. The proposed architecture can handle continual surveillance video data effectively, where real-time analysis, batch processing, distributed storage and cloud services are seamlessly integrated to meet the requirements of video data processing and management. The evaluations show that the proposed approach is efficient in terms of performance, storage, and fault tolerance.
机译：随着来自各种来源（如安全和运输监控）的视频数据的迅速增长，对在线实时分析和大规模视频数据的脱机批处理都提出了要求。现有的视频处理系统不能解决大规模视频处理中的许多挑战，例如性能，数据存储和容错。新兴的云计算和大数据技术为大规模视频数据的智能处理提供了启发。本文提出了一种通用的基于云的体系结构和平台，该体系结构和平台可以为视频数据的智能分析和存储提供鲁棒的解决方案，该体系结构和平台被称为BiF（与快速处理集成在一起的批处理）体系结构。我们已经使用Hadoop平台和Storm平台（分别是典型的离线批处理云平台和在线实时处理云平台）实现了BiF架构。所提出的体系结构可以有效地处理连续监视视频数据，实时分析，批处理，分布式存储和云服务无缝集成在一起，可以满足视频数据处理和管理的要求。评估表明，所提出的方法在性能，存储和容错方面都是有效的。

著录项

  • 来源
    《Personal and Ubiquitous Computing》 |2015年第7期|1099-1110|共12页
  • 作者

    Weishan Zhang; Liang Xu; Pengcheng Duan; Wenjuan Gong; Qinghua Lu; Su Yang;

  • 作者单位

    Department of Software Engineering, China University of Petroleum, No.66 Changjiang West Road, Qingdao 266580, China;

    Department of Software Engineering, China University of Petroleum, No.66 Changjiang West Road, Qingdao 266580, China;

    Department of Software Engineering, China University of Petroleum, No.66 Changjiang West Road, Qingdao 266580, China;

    Department of Software Engineering, China University of Petroleum, No.66 Changjiang West Road, Qingdao 266580, China;

    Department of Software Engineering, China University of Petroleum, No.66 Changjiang West Road, Qingdao 266580, China;

    Department of Computer Science and Engineering, Fudan University, Shanghai, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cloud computing; Video processing; Hadoop; Storm;

    机译：云计算;视频处理;Hadoop;风暴;

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