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Buffer Engineering for M|G|infinity Input Processes
We suggest the $M|G|infty$ input process as a viable model forrepresenting the heavy correlations observed in network traffic.Originally introduced by Cox, this model represents the busy-serverprocess of an $M|G|infty$ ...
Stochastic Approximation and Optimization for Markov Chains
We study the convergence properties of the projected stochasticapproximation (SA) algorithm which may be used to find the root of an unknown steady state function of a parameterized family of Markov chains. The analysis ...
Traffic Models for Hybrid Satellite-Terrestrial Networks
While Hybrid Satellite-Terrestrial Networks (HSTNs) have become a popular method of providing Internet connectivity, network dimensioning and performance prediction problems in these networkss in their terrestrial ...