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Estimating Network Layer Subnet Characteristics via Statistical Sampling

机译:通过统计采样估计网络层子网特征

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Network layer Internet topology consists of a set of routers connected to each other through subnets. Recently, there has been a significant interest in studying topological characteristics of subnets in addition to routers in the Internet. However, given the size of the Internet, constructing complete subnet level topology maps is neither practical nor economical. A viable solution, then, is to sample subnets in the target domain and estimate their global characteristics. In this study, we propose a sampling framework for subnets; derive proper estimators for various subnet characteristics including total number of subnets, subnet prefix length distribution, mean subnet degree, and IP address utilization; and analyze the theoretical and empirical aspects of these estimators.
机译:网络层互联网拓扑由一组通过子网彼此连接的路由器组成。最近,除了互联网中的路由器之外,还存在对子网的拓扑特征进行了重大兴趣。但是,鉴于互联网的大小,构建完整的子网级拓扑图既不实用也不是经济的。然后,可行的解决方案是对目标域中的子网并估计其全局特征。在这项研究中,我们向子网提出了一个采样框架;导出适当的估算器,包括各个子网特征,包括子网的总数,子网前缀长度分布,平均子网度和IP地址利用率;并分析这些估算率的理论和经验方面。

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