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Inferring link loss rates from unicast-based end-to-end measurement

机译:从基于单播的端到端测量推断链路丢失率

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摘要

In the Internet, because of huge scale and dis- tributed administration, it is of practical importance to infer network-internal characteristics that cannot be measured di- retly. In this paper, based on a general framework we proposed previously, we present a feasible method of inferring packet loss rates of individual links from end-to-end measurement of uni- cast probe packets. Compared with methods using multicast probes, unicast-based inference methods are more flexible and widely applicable, whereas they have a problem with imperfect correlation in concurrent events on paths.
机译:在Internet中,由于规模庞大和分布式管理,推断无法直接测量的网络内部特征具有实际意义。在本文中,基于我们先前提出的通用框架,我们提出了一种从单播探测数据包的端到端测量推论单个链路的数据包丢失率的可行方法。与使用多播探测器的方法相比,基于单播的推理方法更加灵活并且可广泛应用,但是它们存在路径并发事件中相关性不完善的问题。

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