关于覆盖网络的拓扑结构

T. Fuhrmann
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引用次数: 5

摘要

随机图模型将成为研究无线自组织网络和传感器网络、点对点网络以及覆盖网络的重要工具。这些模型为评估某些网络的能力提供了理论依据,并指导新协议的设计。特别是最近提出的所谓小世界网络模型受到了网络社区的广泛关注。本文提出使用另外两个数学概念来分析网络拓扑,维度和曲率。这些概念可以直观地应用于传感器网络等领域。但对于某些其他随机图模型,它们也可以被合理地定义。后者是重要的,因为这样的模型可以描述纯粹的虚拟网络,不继承底层物理世界的属性。对类gnutella覆盖网络的随机图模型的分析强有力地表明,这种网络可能被表征为具有分形维数的球体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the topology of overlay-networks
Random-graph models are about to become an important tool in the study of wireless ad-hoc and sensor-networks, peer-to-peer networks, and, generally, overlay-networks. Such models provide a theoretical basis to assess the capabilities of certain networks, and guide the design of new protocols. Especially the recently proposed models for so-called small-world networks receive much attention from the networking community. This paper proposes the use of two more mathematical concepts for the analysis of network topologies, dimension and curvature. These concepts can intuitively be applied to, e.g., sensor-networks. But they can also be sensibly defined for certain other random-graph models. The latter is non-trivial since such models may describe purely virtual networks that do not inherit properties from an underlying physical world. Analysis of a random-graph model for Gnutella-like overlay-networks yields strong indications that such networks might be characterized as a sphere with fractal dimension.
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