Ketan Rajawat, Emiliano Dall'Anese, Georgios B. Giannakis
TL;DR本文提出了基于时空 Kalman 滤波的网络制图框架来高效跟踪和预测 IP 网络中的路径延迟，通过利用拓扑和历史数据，选择最优路径进行延迟测量，并证明了所提出的预测器在线性预测器中是最优的，能够在真实数据集上胜过竞争方法。
Abstract
path delays in ip networks are important metrics, required by network
operators for assessment, planning, and fault diagnosis. Monitoring delays of
all source-destination pairs in a large network is however chall