Adaptive dimensioning of bandwidth tunnels for time-varying real-time traffic

We address the problem of adaptive dimensioning of bandwidth tunnels in a dynamic, real-time traffic environment. We consider a scenario where paths associated with the tunnels are fixed, but the associated bandwidth allocations can be adapted to variations in the incoming traffic. We present an approach for adjusting the tunnel bandwidths incrementally so as to maximize the system throughput. We show, through simulations, that our iterative algorithm converges to the optimal bandwidth allocation for stable traffic patterns. We also demonstrate that our dynamic bandwidth provisioning algorithm significantly outperforms the optimal static bandwidth provisioning policy. Although our policy is incremental in nature and is simple to implement, it yields a performance close to that of the optimal dynamic bandwidth provisioning policy.