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首页> 外文期刊>Progress in Artificial Intelligence >Estimation of Web Proxy Response Times in Community Networks Using Matrix Factorization Algorithms
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Estimation of Web Proxy Response Times in Community Networks Using Matrix Factorization Algorithms

机译:使用矩阵分解算法估计社区网络中的Web代理响应时间

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摘要

In community networks, users access the web using a proxy selected from a list, normally without regard to its performance. Knowing which proxies offer good response times for each client would improve the user experience when navigating, but would involve intensive probing that would in turn cause performance degradation of both proxies and the network. This paper explores the feasibility of estimating the response times for each client/proxy pair by probing only a few of the existing pairs and then using matrix factorization. To do so, response times are collected in a community network emulated on a testbed platform, then a small part of these measurements are used to estimate the remaining ones through matrix factorization. Several algorithms are tested; one of them achieves estimation accuracy with low computational cost, which renders its use feasible in real networks.
机译:在社区网络中,用户通常使用从列表中选择的代理访问Web,而不是考虑其性能。 了解哪个代理为每个客户提供良好的响应时间将在导航时改善用户体验,但会涉及强化探测,从而导致代理和网络的性能下降。 本文探讨了通过仅探测现有对,然后使用矩阵分组来探测每个客户/代理对估算每个客户/代理对的响应时间的可行性。 为此,在测试平台上模拟的社区网络中收集响应时间,然后这些测量的一小部分用于通过矩阵分解来估计其余的。 测试了几种算法; 其中一个实现了低计算成本的估计准确性,这使得其在真实网络中可行的可行性。

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