首页> 外文期刊>Journal of computer networks and communications >Peer-to-Peer Multicasting Inspired by Huffman Coding
【24h】

Peer-to-Peer Multicasting Inspired by Huffman Coding

机译:霍夫曼编码启发的点对点多播

获取原文
获取原文并翻译 | 示例
           

摘要

Stringent QoS requirements of video streaming are not addressed by the delay characteristics of highly dynamic peer-to-peer (P2P) networks. To solve this problem, a novel locality-aware method for choosing optimal neighbors in live streaming multicast P2P overlays is presented in this paper. To create the appropriate multicast tree topology, a round-trip-time (RTT) value is used as a parameter distinguishing peers capabilities. The multicast tree construction is based on the Huffman source coding algorithm. First, a centrally managed version is presented, and then an effective use of a distributed paradigm is shown. Performance evaluation results prove that the proposed approach considerably improves the overlay efficiency from the viewpoint of end-users and content providers. Moreover, the proposed technique ensures a high level of resilience against gateway-link failures and adaptively reorganizes the overlay topology in case of dynamic, transient network fluctuations.
机译:高动态对等(P2P)网络的延迟特性无法满足视频流的严格QoS要求。为了解决这个问题,本文提出了一种新颖的本地感知方法,用于在实时流式组播P2P覆盖中选择最佳邻居。为了创建适当的多播树拓扑,将往返时间(RTT)值用作区分对等方功能的参数。多播树的构建基于霍夫曼源编码算法。首先,介绍了一个集中管理的版本,然后显示了分布式范例的有效使用。性能评估结果证明,从最终用户和内容提供商的角度来看,该方法可以显着提高覆盖效率。此外,所提出的技术可确保对网关链路故障的高度恢复能力,并在动态,瞬态网络波动的情况下自适应地重新组织覆盖拓扑。

著录项

  • 来源
    《Journal of computer networks and communications》 |2013年第2013期|312376.1-312376.11|共11页
  • 作者单位

    AGH University of Science and Technology, Department of Telecommunications, Al. Mickiewicza 30, 30-059 Krakow, Poland;

    AGH University of Science and Technology, Department of Telecommunications, Al. Mickiewicza 30, 30-059 Krakow, Poland;

    AGH University of Science and Technology, Department of Telecommunications, Al. Mickiewicza 30, 30-059 Krakow, Poland;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号