期刊文献+

移动网络中的流量加速技术 被引量:4

Traffic Acceleration Technologies in Mobile Networks
下载PDF
导出
摘要 文章提出了采用多种流量加速技术,比如流量压缩和缓存技术、应用协议优化技术、区分业务和用户的带宽控制技术等,对移动数据流量进行管控、优化和疏导。多种流量加速技术的结合使用,可以减少流量增加对网络容量的冲击,提高用户体验。其中,流量压缩技术可以使得文本和图片的流量大大减少,并同时适配终端,满足移动用户的体验;流量缓存技术可以在本网内缓存热点内容,减少网间拥塞、用户访问时延及晚间的结算费用;超文本传输协议(HTTP)优化技术可以改善HTTP协议的性能,在不扩容的情况下提高移动网络的吞吐量。实验室测试和现网试点证明,上述技术和方法的应用可以取得比较好的移动数据流量管控、优化效果。 This paper presents several traffic acceleration technologies for controlling managing, and optimizing mobile data traffic, including traffic compression and content cache, application protocol optimization, and technology for distinguishing between business and user bandwidth control. The combined use of different traffic acceleration technologies reduces the affect of increased flow on network capacity and improves user experience. Traffic compression can improve mobile UE by greatly reducing the flow of text and pictures according to the terminal. Content cache technology is used to cache hot content in the local network, avoid internetwork congestion, and reduce delay and intemetwork charging. HyperText transfer protocol (HTTP) improves the capability of HTTP protocol and increases the throughput of a mobile network when the network is not expanding. Laboratory tests and network experiments prove that these techniques can better control, manage, and optimize mobile data traffic.
出处 《中兴通讯技术》 2012年第1期23-26,共4页 ZTE Technology Journal
关键词 移动网络 数据应用 流量加速 流量压缩 流量缓存 超文本传输协议优化 mobile network data traffic acceleration traffic applications compression traffic cache HTTP optimization
  • 相关文献

参考文献1

二级参考文献6

  • 1傅绍清,土壤学报,1982年,19卷,305页
  • 2汪寅虎,土壤,1979年,5卷,169页
  • 3傅明华,土壤学报,1979年,16卷,372页
  • 4蒋柏藩,土壤学报,1979年,16卷,17页
  • 5蒋柏藩,土壤学报,1963年,11卷,361页
  • 6顾益初,土壤学报,1984年,21卷,134页

共引文献281

同被引文献121

  • 1赫建营,晏海华,刘超,金茂忠.一种有效的Web性能测试方法及其应用[J].计算机应用研究,2007,24(1):275-277. 被引量:28
  • 2谈姝辰,尹军.基于负载的Web性能测试研究与应用[J].现代电子技术,2007,30(14):139-142. 被引量:11
  • 3习博,方彦军.基于排队论的嵌入式Web系统性能优化[J].计算机工程,2007,33(17):120-122. 被引量:3
  • 4Mashable. Slow websites cost retailers billion [EB/OL].[2013-04-22], http://mashable. com/2012/11/22/slow-websites/.
  • 5Zhang Y,Ansari N,Wu M,et al. On wide area networkoptimization [J]. IEEE Communications Surveys Tutorials,2012,14(4): 1090-1113.
  • 6Cui Y,Liao C,Stojmenovic I,et al. Cooperative redundancyelimination in data center networks with wireless cards atrouters [C]//Proc of the32nd IntConf on DistributedComputingSystems Workshops.Piscataway, NJ: IEEE,2012: 35-42.
  • 7F5 Networks. F5 WANJet transparent data reduction[EB/OL]. [2013-04-21]. http://www. f5. com/pdf/white-papers/wanjet-tdr-wp. pdf.
  • 8Juniper Networks. The evolution of wide area file services(WAFS ) : Toward transparent, comprehensive WANoptimization [EB/OL]. [2013-04-21]. http://support, neoteris.com/solutions/literature/white_papers/200173. pdf.
  • 9Yazdanpanah A, Hashemi M R. A simple losslesspreprocessing algorithm for hardware implementation ofDEFLATE data compression [C]//Proc of the 19th IranianConf on Electrical Engineering.Piscataway, NJ : IEEE, 2011.
  • 10Tye C S, Fairhurst D G. A review of IP packet compressiontechniques [C/OL]//Proc of PostGraduate Networking Conf,2003: 1 - 6. [2013-10-07]. http://citeseerx. ist. psu. edu/viewdoc/download?doi= 10 1. 1. 111. 6448&-rep= repl8type =pdf.

引证文献4

二级引证文献6

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