Title: Internet Equilibrium Analysis Through Separation of User and Network Behavior
Abstract:
Internet complexity makes reasoning about traffic equilibrium difficult, partly because users
react to congestion. This difficulty calls for an analytic technique that is simple, yet have
enough details to capture user behavior and flexibly address a broad range of issues.
This talk presents such a technique. It treats traffic equilibrium as a balance between an
inflow controlled by user demand, and an outflow provided by network supply (link capacity,
congestion avoidance, etc.). This decomposition is demonstrated with a surfing session
model, and validated with a traffic trace and NS2 simulations.
The technique's accessibility and breadth are illustrated through an analysis of several
issues concerning the location, stability, robustness and dynamics of traffic equilibrium.
(Joint work with D. Nguyen Tran, Eric Y. Liu, Wei Tsang Ooi and Robert Morris)
Biography:
Y.C. Tay received his B.Sc. degree from the University of Singapore and Ph.D. degree from
Harvard University. He is a professor in the Departments of Mathematics and Computer Science
at the National University of Singapore (http://www.comp.nus.edu.sg/~tayyc). His main research
interest is performance modeling.
