来自加速主动网络断层扫描的高质量排队信息
High Quality Queueing Information from Accelerated Active Network Tomography
摘要：
监控网络状态在未来的互联网基础设施中可能至关重要。对所有路由器的被动监视是昂贵的和禁止的。存储、访问和共享数据是经济利益冲突的网络之间的技术挑战。主动监测方法可以是有吸引力的替代方案，因为它们没有这些问题中的大多数。在这里，我们证明，它是可能的，以改善主动网络断层扫描方法，这样的程度上，提取的链路或路由器级延迟的质量是可比的被动可测量的信息。我们表明，时间精度的测量和数据分析的性能，应同时提高，以实现这一目标。在本文中，我们不仅介绍了一种新的有效的基于消息传递的算法，但我们也表明，它是适用于ETOMIC高精度主动测量基础设施收集的数据。测量是在连接站点的GEANT2高速学术网络中进行的，这是此类未来互联网应用的理想测试场。
英文摘要：
Monitoring network state can be crucial in Future Internet infrastructures. Passive monitoring of all the routers is expensive and prohibitive. Storing, accessing and sharing the data is a technological challenge among networks with conflicting economic interests. Active monitoring methods can be attractive alternatives as they are free from most of these issues. Here we demonstrate that it is possible to improve the active network tomography methodology to such extent that the quality of the extracted link or router level delay is comparable to the passively measurable information. We show that the temporal precision of the measurements and the performance of the data analysis should be simultaneously improved to achieve this goal. In this paper we not only introduce a new efficient message-passing based algorithm but we also show that it is applicable for data collected by the ETOMIC high precision active measurement infrastructure. The measurements are conducted in the GEANT2 high speed academic network connecting the sites, which is an ideal test ground for such Future Internet applications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
