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High-bandwidth data dissemination in overlay networks.

机译:覆盖网络中的高带宽数据分发。

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摘要

Data dissemination or multicast in overlay networks, in its various forms, is popular in the Internet because of its lack of infrastructure requirement and its flexibility. Availability of abundant capacity in the physical network and high demand for the exchange of increasingly large-sized data contents make data transfer rate or bandwidth a critical metric to improve.;We study application-layer data dissemination in overlay networks, with the aim of reliably maximizing the bandwidth. Our research was undertaken from mainly three fronts. (1) We applied the theoretic results of network coding, from the field of information theory, to overlay multicast. A distributed algorithm is designed to construct an overlay multicast topology conducive to network coding. On this topology, we then devised a practical method for generating specific linear codes to implement the encoding/decoding of data. The resulting overlay multicast topology, with the implementation of network coding, is able to achieve the improvement in bandwidth predicted by the theory. (2) To address practical issues of network dynamics and cross traffic fluctuations, we developed a distributed algorithm to adaptively and progressively build overlay multicast topologies of a multiple-tree structure. We not only conducted experiments in simulations, but also implemented the algorithm and deployed it in PlanetLab, a real wide-area overlay network test-bed. (3) Studying overlay networks from a more theoretical perspective, we made the simple observation that overlay links have hidden correlations in capacity, based on which we introduced a new model of overlay networks: overlay with linear capacity constraints (LCC). We investigated several classical network flow problems in the context of LCC-overlays. Using theory and techniques from the field of linear optimization, we formulated and solved these problems. We also studied LCC-overlays with simulated experiments, and discovered that even a highly restricted class of LCC would yield substantial increase in flow rates. Even more encouraging is that this particular restricted class of LCC is naturally distributed. Furthermore, we developed distributed algorithms both for constructing LCC-overlays and for doing overlay multicast in them.
机译:覆盖网络中各种形式的数据分发或多播由于缺乏基础结构要求和灵活性而在Internet上很流行。物理网络中大量容量的可用性以及对日益增长的大容量数据内容交换的高要求使数据传输速率或带宽成为提高数据传输速度的关键指标。我们研究覆盖网络中的应用层数据分发,目的是可靠地最大化带宽。我们的研究主要从三个方面进行。 (1)我们从信息论的角度将网络编码的理论结果应用于覆盖组播。设计一种分布式算法,以构建有利于网络编码的覆盖多播拓扑。然后,在此拓扑上,我们设计了一种实用的方法,用于生成特定的线性代码以实现数据的编码/解码。通过网络编码的实现,最终的覆盖多播拓扑能够实现理论预测的带宽提高。 (2)为了解决网络动力学和流量交叉波动的实际问题,我们开发了一种分布式算法来自适应地逐步构建多树结构的覆盖多播拓扑。我们不仅在仿真中进行了实验,还实现了该算法并将其部署在PlanetLab(一个真正的广域覆盖网络测试平台)中。 (3)从更理论的角度研究覆盖网络,我们简单地观察到覆盖链路在容量上具有隐藏的相关性,在此基础上,我们引入了覆盖网络的新模型:具有线性容量约束(LCC)的覆盖。我们在LCC叠加的背景下研究了几个经典的网络流量问题。使用线性优化领域的理论和技术,我们制定并解决了这些问题。我们还通过模拟实验研究了LCC叠加层,并发现,即使是高度受限的LCC类别也会导致流量的大幅提高。更加令人鼓舞的是,这种特殊的受限LCC类是自然分布的。此外,我们开发了用于构建LCC覆盖和在其中进行覆盖多播的分布式算法。

著录项

  • 作者

    Zhu, Ying.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 172 p.
  • 总页数 172
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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