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Measuring the size of the Internet via importance sampling

机译:通过重要性抽样来衡量Internet的规模

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Measuring the size of the Internet via Monte Carlo sampling requires probing a large portion of the Internet protocol (IP) address space to obtain an accurate estimate. However, the distribution of information servers on the Internet is highly nonuniform over the IP address space. This allows us to design probing strategies based on importance sampling for measuring the prevalence of an information service on the Internet that are significantly more effective than strategies relying on Monte Carlo sampling. We present thorough analysis of our strategies together with accurate estimates for the current size of the Internet Protocol Version 4 (IPv4) Internet as measured by the number of publicly accessible web servers and FTP servers.
机译:通过蒙特卡洛采样法测量Internet的大小需要探测Internet协议(IP)地址空间的很大一部分以获得准确的估算值。但是,Internet上信息服务器的分布在IP地址空间上非常不均匀。这使我们能够设计基于重要性抽样的探测策略,以测量Internet上信息服务的普遍性,这比依赖于蒙特卡洛抽样的策略更为有效。我们将对我们的策略进行全面的分析,并以可公开访问的Web服务器和FTP服务器的数量来衡量对Internet协议版本4(IPv4)Internet当前大小的准确估计。

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