On‐Line Learning and Dynamic Capacity Allocation in the Traffic Management of Integrated Services Networks
Anthony T. Burrell, Panayota Papantoni-Kazakos · European Transactions on Telecommunications · 1999
Abstract A Traffic Monitoring Algorithm (TMA) is utilized to allocate channel capacities dynamically to heterogeneous traffics with time‐varying characteristics. The threshold parameters that characterize the operational characteristics of the TMA control the overall system performance, including traffic rejection rates and wasted capacity rates. In this paper an on‐line learning algorithm is introduced, to dynamically adapt the threshold parameters of the TMA for attaining a prespecified upper bound on the traffic rejection rate, at minimal cost in wasted capacity rate. The learning algorithm is analyzed and evaluated to expose its superior convergence characteristics.