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Low-Overhead End-to-End Performance Measurement for Next Generation Networks

机译:下一代网络的低开销端到端性能评估

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Internet performance measurement is commonly perceived as a high-cost control-plane activity and until now it has tended to be implemented on top of the network's forwarding operation. Consequently, measurement mechanisms have often had to trade relevance and accuracy over non-intrusiveness and cost effectiveness. In this paper, we present the software implementation of an in-line measurement mechanism that uses native structures of the Internet Protocol version 6 (IPv6) stack to piggyback measurement information on data-carrying traffic as this is routed between two points in the network. We carefully examine the overhead associated with both the measurement process and the measurement data, and we demonstrate that direct two-point measurement has minimal impact on throughput and on system processing load. The results of this paper show that adequately engineered measurement mechanisms that exploit selective processing do not compromise the network's forwarding efficiency, and can be deployed in an always-on manner to reveal the true performance of network traffic over small timescales.
机译:互联网性能评估通常被认为是一项高成本的控制平面活动,并且直到现在,它一直倾向于在网络的转发操作之上实施。因此,衡量机制常常不得不在不介入和成本效益方面权衡相关性和准确性。在本文中,我们介绍了一种在线测量机制的软件实现,该机制使用Internet协议版本6(IPv6)堆栈的本机结构来承载有关数据承载流量的测量信息,因为该信息在网络中的两点之间路由。我们仔细检查了与测量过程和测量数据相关的开销,并且我们证明了直接两点测量对吞吐量和系统处理负载的影响最小。本文的结果表明,利用选择性处理进行充分设计的测量机制不会损害网络的转发效率,并且可以以始终在线的方式进行部署,以揭示较小时间范围内网络流量的真实性能。

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