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计算机工程

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三网融合下基于资源池化的视频业务管理策略

戴薇薇,奚宏生,曾威龙   

  1. (中国科学技术大学自动化系网络传播系统与控制联合实验室,合肥 230027)
  • 收稿日期:2013-01-25 出版日期:2014-02-15 发布日期:2014-02-13
  • 作者简介:戴薇薇(1988-),女,硕士研究生,主研方向:网络性能分析与优化;奚宏生,教授;曾威龙,硕士研究生
  • 基金资助:
    国家自然科学基金资助重点项目(61233003);博士学科点专项科研基金资助项目(20093402110019)

Video Service Management Strategy Based on Resource Pooling Under Tri-networks Integration

DAI Wei-wei, XI Hong-sheng, ZENG Wei-long   

  1. (Joint Laboratory of Network Communication System and Control, Department of Automation, University of Science and Technology of China, Hefei 230027, China)
  • Received:2013-01-25 Online:2014-02-15 Published:2014-02-13

摘要: 对现有KAD协议在高并发、高实时性需求环境中的优缺点进行分析。为减少系统信息的冗余和延迟时间,提出一种在三网融合背景下,基于服务节点资源池划分的改进KAD网络视频业务系统的调度管理策略。采用基于网络连通性的准则将视频业务网的服务节点划分为若干资源池,各池内部网络采用KAD方式进行组织。根据用户请求量的预测,采用池间资源租借的方式解决单个资源池由于业务量增大而导致的服务过载问题。实验结果表明,对于典型的视频业务请求,马尔科夫链预测法能够实现过载漏报率为0的精确预警,从而根据预测结果,并利用KAD网络灵活的扩展性及时地补充服务资源。

关键词: 资源池化, KAD网络, 租借调度, 马尔科夫链预测法, 三网融合, 视频业务网

Abstract: In order to meet the demands of the network management and control of video service in the tri-networks integration background, the advantages and disadvantages of using KAD protocol in high concurrent and real-time environment are analyzed and a scheduling management strategy based on loaning video service nodes between resource pools is proposed to minimize redundancy information and delay time of system. Divide the video service nodes into a number of resource pools based on the connectivity between video service node and different networks and each pool is organized by KAD protocol. Adopt a method of loaning available video service nodes from other pools to avoid overload or denial of service when a large number of video requests are predicted. Experimental result shows that the Markov chain prediction method can warn the overload state effectively and false negative rate achieves zero. The resource of video service nodes can be balanced based on the mechanism.

Key words: resource pooling, KAD network, loan scheduling, Markov chain prediction method, tri-networks integration, video service network

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