时间🧔🏿‍♂️：6月19日（星期四）下午2：00 - 3:00

地点：系北510会议室

报告人：Dr. Xiaodong Yang, Manager of Supply Chain in Amazon China

报告题目🚶‍♂️‍➡️：Fast Estimation for Network Monitoring through Active Tomography Techniques

报告摘要：

Estimating and monitoring performance parameters associated with computer and communication networks, such as packet loss rate and delay distribution, is critical for various network management tasks. This research studies the problem of efficient estimation of network internal delay distributions from end-to-end measurements using active tomography techniques. The statistical inference involves an inverse problem.

First, we consider identifiability and inference of delay distributions on network internal links. We develop a semiparametric model and method of moments (MOM) estimation for continuous link delays. Based on the probing and distributional assumptions, the delay distributions are estimated using a least-squares moment matching framework. Then, we studies the problem of estimating and monitoring jitter based on a regression model for link delay variances. The delay variances can be readily estimated without knowing the exact nature of the underlying distribution. When the variance of the underlying distribution is related to the mean, monitoring changes in the log-variance is equivalent to monitoring changes in the mean. We proposed monitoring method for mean delays using log-variance and compare its asymptotic efficiency with that of the mean-based estimator under the semiparametric model. The variance-based estimator is easy to compute and competitive to the mean-based estimator. It hence provides a computationally efficient alternative to monitoring mean delays through log-variance.

This is joint work with George Michailidis, Vijay Nair and Earl Lawrence.

报告人简历：

Xiaodong Yang received his Ph.D. in Industrial and Operations Engineering from the University of Michigan, Ann Arbor. He currently serves as a manager of Supply Chain in Amazon China. He once worked for General Electric Company as a Quality Engineer and AAA Life Insurance Company as a Quantitative Analyst. His research interests cover broad topics in the field of decision science and emphasize applications in manufacturing and service processes.