计算机科学 ›› 2016, Vol. 43 ›› Issue (4): 58-63.doi: 10.11896/j.issn.1002-137X.2016.04.012

• 网络与通信 • 上一篇    下一篇

基于微云的移动视频预取系统

纪传伟,白光伟,沈航,邹露宁   

  1. 南京工业大学计算机科学与技术系 南京210009,南京工业大学计算机科学与技术系 南京210009;南京理工大学高维信息智能感知与系统教育部重点实验室 南京210094,南京工业大学计算机科学与技术系 南京210009,南京工业大学计算机科学与技术系 南京210009
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金(60673185,61073197),江苏省自然科学基金(BK2010548),江苏省科技支撑计划(工业)(BE2011186),南京邮电大学宽带无线通信与传感网技术教育部重点实验室开放研究基金资助

Cloudlet-based Mobile Video Prefetching System

JI Chuan-wei, BAI Guang-wei, SHEN Hang and ZOU Lu-ning   

  • Online:2018-12-01 Published:2018-12-01

摘要: 现有的移动视频通话研究大多集中在视音频同步、码率调整和能量节约等方面,忽视了用户在公共AP间切换时视频通话服务的中断重连问题。针对这一问题,提出了基于微云的移动视频预取系统来尽可能地减少通话重连次数。该系统通过本地微云为移动的用户预取视频流,并设计贪心预取算法来提高预取命中率。同时,设计低概率多阶马尔科夫预取进程调度算法和起始AP选择算法来平衡贪心预取引起的微云资源消耗过多的问题。仿真实验表明,CMVP可以获得90%以上的预取命中率,使QoE显著提升。

关键词: 公共AP,视频预取,本地微云,多阶马尔科夫

Abstract: Most researches on mobile video communication(MVC) focus on audio and video synchronization,bit rate adjustment and energy saving,however,the change between APs which leads video communication service to interruption is not considered.We proposed a cloudlet-based mobile video prefetching system(CMVP) to this challenge.CMVP utilizes cloudlets to prefetch video streams for mobile-phones.We designed a greedy prefetching algorithm to reduce the count of service interruption as far as possible.And to balance cloudlets’ resource consumption,the low probability K to 1 markov prefetching progress schedule algorithm(LPMPPS) and first AP selection algorithm were designed.Our simulation results demonstrate that CMVP can access to more than 90% hit rate,and QoE can be improved remarkably.

Key words: Public AP,Video prefetching,Cloudlets,K to 1 Markov

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