Unified architecture for network measurement: The case of available bandwidth

Unified architecture for network measurement: The case of available bandwidth
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网络测量的统一架构:可用带宽的情况

DOI:
10.1016/j.jnca.2011.10.010
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发表时间:
2012
期刊:
J. Netw. Comput. Appl.
影响因子:
--
通讯作者:
M. D'Arienzo
M. D'Arienzo
中科院分区:
--
文献类型:
--
作者:
Giuseppe Aceto;A. Botta;A. Pescapé;M. D'Arienzo

文献摘要

被引文献

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在网络监测和测量领域,所采用的工具的效率和准确性在很大程度上取决于(i)被测量的网络场景的结构和动态特性以及(ii)所涉及的参数的手动微调。例如,这是端到端可用带宽估计的情况,其中测量阶段的约束根据最终结果的使用而变化。在这项工作中,我们提出了UANM(网络测量的统一架构),一种新的测量基础设施的测量阶段的自动管理,量身定制的端到端的可用带宽估计工具。我们详细描述了它的体系结构,说明了我们介绍的功能,以减轻异构场景中影响可用带宽估计的问题。为了提供证据的UANM的好处,我们提出了一个实验验证,在三个选定的情况下部署在一个真实的网络测试床(i)量化的开销引入使用UANM,(ii)显示UANM是如何能够减轻并发测量之间的干扰,以及(iii)说明UANM是如何能够提供更准确的结果感谢网络环境的知识。最后,第一次在文献中,我们提供了一个“公平的比较”的八个可用的带宽估计工具的准确性,探测时间,和侵入性。
In the field of network monitoring and measurement, the efficiency and accuracy of the adopted tools is strongly dependent on (i) structural and dynamic characteristics of the network scenario under measurement and (ii) on manual fine tuning of the involved parameters. This is, for example, the case of the end-to-end available bandwidth estimation, in which the constraints of the measurement stage vary according to the use of the final results. In this work, we present UANM (unified architecture for network measurement), a novel measurement infrastructure for the automatic management of measurement stages, tailored to the end-to-end available bandwidth estimation tools. We describe in detail its architecture, illustrating the features we introduced to mitigate the problems affecting available bandwidth estimation in heterogeneous scenarios. To provide evidences of UANM benefits, we present an experimental validation in three selected scenarios deployed over a real network testbed to (i) quantify the overhead introduced by the use of UANM, (ii) show how UANM is able to alleviate the interferences among concurrent measurements, and (iii) illustrate how UANM is capable to provide more accurate results thanks to the knowledge of the network environment. Finally, for the first time in literature, we provide a “fair comparison” of eight available bandwidth estimations tools in terms of accuracy, probing time, and intrusiveness.