Self-sizing and optimization of high-speed multiservice networks

We consider the network design and optimization of high-speed multiservice networks. Meeting different service requirements is facilitated by dividing the network into virtual bands. A band corresponds to a service type. To achieve high transport efficiency, bands should be reconfigured frequently to track the varying traffic. Our work aims at developing a self-sizing system which can allocate network capacity automatically and adaptively using on-line traffic data. We study the optimization problem for band partitioning for high-speed multiservice networks. A two-step optimization approach is presented. An optimization model is developed to partition bandwidth among bands to minimize total system cost under capacity constraints while the QoS at call level and cell level are guaranteed. An online traffic measurement system allows the network to automatically detect the amount of bandwidth necessary to satisfy the QoS requirements at cell level. To this end our system exploits the notion of effective bandwidth. To meet the requirement of frequent band partitioning, a fast algorithm based on simulated annealing is presented to solve the model. Simulation results are reported to demonstrate the effectiveness of the optimization approach.