期刊文献+

基于云计算虚拟技术的视音频指标监测系统研究

Video and Audio Performance Monitoring System Based on Cloud Computing Virtual Technology
下载PDF
导出
摘要 本文首先分析了安全播出对于数字电视安全播出责任单位的重要性,并通过文献对云计算虚拟技术的发展情况和特点进行了研究。其次,将云计算虚拟技术应用于视音频指标监测系统,通过搭建试验系统对应用系统架构、软硬件配置、实现方法和实验结果进行研究,取得了良好的效果。 Firstly, this paper analyzes the importance of safe broadcasting for the digital TV broadcasting department, and studies the development and characteristics of cloud computing virtual technology through the literature. Secondly, it applies the cloud computing virtual technology to video and audio indicator monitoring system, by a test system in which the application system architecture, hardware and software confguration, implementation methods and experimental results are researched and good results are achieved.
作者 覃道光 Qin Daoguang(China Cable Television Network Co.Ltd.,Beijing 100036,China)
出处 《广播与电视技术》 2018年第11期126-131,共6页 Radio & TV Broadcast Engineering
基金 国家广电光缆干线网统一监控平台优化项目
关键词 安全播出 云计算 虚拟技术 视音频指标监测 Security broadcasting Cloud computing Virtual technology Video and audio performance monitoring
  • 相关文献

参考文献2

二级参考文献53

  • 1Leavitt N. Is Cloud Computing Really Ready for Prime Time? [J]. IEEE Computer Society Press, 2009,42 ( 1 ) :15 20.
  • 2Armbrust M, Fox A, Grith R, et al. Above the clouds:A Berkeley View of Cloud Computing[R]. UCB/EECS-2009-28. Berkeley, USA:Electrical Engineering and Computer Sciences, University of California at Berkeley, 2009.
  • 3Vaquero L, Rodero-Marino L, Caceres J, et al. A break in the clouds: towards a cloud definition [J]. SIGCOMM Computer Communication Review, 2009,39 ( 1 ) : 50-55.
  • 4Lenk A,Klems M, Nimis J, et al. What' s inside the Cloud? An Architectural Map of the Cloud Landscape[C]//Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing. 2009 : 23-31.
  • 5Amazon Web Services[EB/OL]. http://aws, amazon, corn/.
  • 6Hadoop[EB/OL]. http://hadoop, apache, org/core.
  • 7Dean J, Ghemawat S. MapReduce: Simplied data processing on large clusters[C]//Proceedings of the 6th Symposium on Operating Systems Design and Implementation. San Francisco, CA, 2004,11(18):137-150.
  • 8Hbase[EB/OL]. http://hadoop, apache, org/hbase/.
  • 9Zookeeper[EB/OL]. http://hadoop, apache, org/zookeeper/.
  • 10Google app engine[EB/OL]. http://appengine, google, com.

共引文献455

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部