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Probing Based Topology Inference for Large Scale Community Networks

机译:大型社区网络基于探测的拓扑推理

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Traditional research in on-demand topological solutions is gathered around the two main clusters, - wireless ad-hoc networks and fixed overlay networks. Both are very different in nature, but they both deal with the same problem which is to create a topology out of an arbitrary set of nodes. This paper considers the case of an arbitrary set of mixed-technology nodes which are to be joined in a topology based on end-to-end delay measurements among nodes. The core of the proposal is topology inference based on triangular inequality of end-to-end delay which is finalized in form of an algorithm that allows for efficient detection of a logical topology of a network with no initial topology. The algorithm is scalable and could be a practical solution for many scenarios involving community services created on-demand and intended for a short lifespan.
机译:关于按需拓扑解决方案的传统研究围绕两个主要集群收集,即无线自组织网络和固定覆盖网络。两者在本质上有很大的不同,但是它们都处理相同的问题,即根据任意节点集创建拓扑。本文考虑了基于节点之间的端到端延迟测量,将任意一组混合技术节点组合成拓扑的情况。该建议的核心是基于端到端延迟的三角不等式的拓扑推断,该推断以一种算法的形式最终确定,该算法允许有效检测没有初始拓扑的网络的逻辑拓扑。该算法具有可伸缩性,对于涉及按需创建的,旨在缩短使用寿命的社区服务的许多场景而言,它可能是一种实用的解决方案。

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