期刊文献+

异构边缘网络中内容扩散策略及优化 被引量:1

Design and Optimization of Content Diffusion Strategies in Heterogeneous Edge Network
下载PDF
导出
摘要 通过内容扩散系统在边缘网络中部署热门内容的副本可以有效缓解骨干网络的负载压力。因为网络边缘设备的能力和其所属用户的兴趣可能存在差异,内容扩散策略需要充分考虑边缘网络的异构性。本文首先提出一种分层的边缘网络拓扑和去中心化的内容扩散策略实现热门内容副本的扩散。基于设备的能力、负载和兴趣特征,本文进一步优化内容扩散策略,包括:基于兴趣的扩散目标调整策略、启发式的缓存节点选择策略、覆盖率感知的传输内容选择和传输负载感知的接收节点选择策略。实验结果表明优化后的扩散策略在边缘网络中拥有更稳定的高服务成功率,提高了约25.5%的本地获取服务的概率,减少了约7.6%的完成扩散所需时间。 Deploying the replications of popular content in the edge network through the content diffusion system can effectively alleviate the load on the backbone network. Because the capacities of terminals and the interests of their users may differ,the content diffusion strategies need to fully consider the heterogeneous. This paper proposes a layered topology of network and a decentralized content diffusion strategy to deploy the replications. Based on the capabilities,load and interests of terminals,this paper further optimizes the diffusion of content. The optimization strategy includes the adjustment of target of diffusion based on the interest features,the heuristic caching node selection strategy,the coverage rate-aware selection of transmission content and transmission load-aware selection of receiving node. Experimental results show that the optimized diffusion system can provide a more stable success rate of services,improve the probability of local services by about 25. 5%,and reduce the time to complete the diffusion of content by about 7. 6%.
作者 薛寒星 尤佳莉 王劲林 XUE Han-xing;YOU Jia-li;WANG Jin-lin(National Network New Media Engineering Technology Research Center,Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100190,China)
出处 《计算机与现代化》 2020年第1期34-40,89,共8页 Computer and Modernization
基金 中国科学院战略性科技先导基金资助项目(XDC02010701)
关键词 异构边缘网络 内容扩散 去中心化 自适应调整 传输策略 heterogeneous edge network content diffusion decentralized adaptive adjustment transmission strategies
  • 相关文献

参考文献2

二级参考文献16

  • 1邓永红.内容分发网络技术综述[J].有线电视技术,2005,12(13):15-20. 被引量:11
  • 2闫旭.CDN互联网新兴网络技术的研究[J].电视工程,2007(2):53-56. 被引量:1
  • 3Cisco. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update,2015 -2020[ OL]. (2016 -02 -01 ). http :// www. cisco, com/c/en/us/solutions/collateral/service - provider/visual - networking - index - vni/mobile - white - paper - cl 1 - 520862. html.
  • 4Hoydis J, Kobayashi M, Debbah M. Green small -cell networks[ J]. IEEE Vehicular Technology Magazine, 2011, 6( 1 ) : 37 -43.
  • 5Wang X, Chen M, Taleb T, et al. Cache in the air: exploiting content caching and delivery techniques for 5G systems[ J]. IEEE Communications Magazine, 2014, 52(2): 131 -139.
  • 6Song C, Qu Z, Blumm N, et al. Limits of predictability in human mobility[J]. Science, 2010, 327(5968) : 1018 - 1021.
  • 7Etter V, Kafsi M, Kazemi E. Been there, done that: What your mobility traces reveal about your behavior [ C ]//Mobile Data Challenge by Nokia Workshop, in conjunction with Int. Conf. on Pervasive Computing. 2012 (EPFL- CONF- 178426).
  • 8Ba~tu~E, Gu6n6go J L, Debbah M. Proactive small cell networks[ C ]//Telecommunications (ICT) , 2013 20th International Con- ference on. IEEE, 2013 : 1 - 5.
  • 9Bastug E, Bennis M, Debbah M. Living on the edge : The role of proactive caching in 5G wireless networks[ J]. IEEE Communi- cations Magazine, 2014, 52(8): 82-89.
  • 10Ramanan B A, Drabeck L M, Haner M, et al. Cacheability analysis of HTTP traffic in an operational LTE network[ C ]//Wire- less Telecommunications Symposium (WTS), 2013. IEEE, 2013 : 1 - 8.

共引文献9

同被引文献14

引证文献1

二级引证文献2

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