Estimation of overlay link quality from previously observed link qualities
Estimation of overlay link quality from previously observed link qualities
复制标题
根据先前观察到的链路质量估计覆盖链路质量
DOI：
10.1109/ccnc.2013.6488505
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
and M.Mori
中科院分区：
文献类型：
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作者：
W.Sun;N.Shibata;K.Yasumoto;and M.Mori
为了优化互联网上的覆盖网络，估计每个覆盖链路的质量是有用的。用于测量链路质量的现有工具从网络的一端向另一端发送探测分组，但是这需要在两端节点处执行测量软件。此外，这些工具需要发送许多探测数据包来精确测量质量，这可能会中断其他通信。在本文中，我们提出了一种基于监督学习的技术，用于根据其他类似链路的质量来估计链路质量。由于我们的技术不需要发送探测数据包，我们可以快速估计许多链路的质量，而不会中断其他通信或浪费许多节点的处理时间。在PlanetLab上进行实验，结果表明，该方法在路径延迟估计方面优于基于路径长度的估计结果。
To optimize overlay networks on the Internet, it is useful to estimate the qualities of each overlay link. Existing tools for measuring link qualities send probe packets from one end of the network to the other, but this requires the execution of measurement software at both end nodes. Besides, these tools need to send many probe packets to measure quality accurately, and this can disrupt other communication. In this paper, we propose a technique based on supervised learning for estimating link quality based on the quality observed for other similar links. Since our technique does not require sending probe packets, we can quickly estimate the qualities of many links without disrupting other communication or wasting processing time at many nodes. Through experiments on PlanetLab, the proposed method showed better performance on path latency estimation than the estimating results based on path length.