Network tomography allows us to infer internal characteristics, such as node and link properties (delay, jitter, packet drop, status), from end-to-end measurements. This talk will describe our recent work on deterministic and stochastic approaches to inferring link metrics that may be Boolean, or additive across the path. The talk will cover minimal monitor placement, path construction, partial identifiability and optimal probe allocation My collaborators in this work include Liang Ma, Ting He, Chang Liu, Paul Yu, Don Towsley and Kin Leung.
Dr. Ananthram Swami
Senior Research Scientist, Network Science, U.S. Army Research Laboratory on February 10, 2017 at 11:45 AM in Engineering Building III, Room 2213
Ananthram Swami is with the US Army Research Laboratory and is the Army's Senior
Research Scientist (ST) for Network Science. Prior to joining ARL, he held positions with
Unocal Corporation, USC, CS-3 and Malgudi Systems. He was a Statistical Consultant to the
California Lottery, developed a Matlab-based toolbox for non-Gaussian signal processing.
He has held visiting faculty positions at INP, Toulouse., and currently at Imperial College. He
received the B.Tech. Degree from IIT-Bombay; the M.S. Degree from Rice University, and
the Ph.D. Degree from the University of Southern California (USC), all in Electrical
Engineering. Swami's work is in the broad area of network science. He is an ARL Fellow and
a Fellow of the IEEE.
The Department of Electrical and Computer Engineering hosts a regularly scheduled seminar series with preeminent and leading reseachers in the US and the world, to help promote North Carolina as a center of innovation and knowledge and to ensure safeguarding its place of leading research.