TCP based estimation method for loss control in OBS networks

Optical Burst Switching (OBS) has been developed as an efficient switching technique for the next generation optical Internet. A critical issue for OBS networks is the burst loss which could occur due to contention and/or insufficient offset time. Burst Loss Ratio (BLR) is used as the main performance parameter in bufferless OBS networks. This paper proposes a new TCP statistics based method to predict the BLR without using any feedback information from the network. The idea is to estimate the BLR based on the TCP statistics available at the edge node. Our proposed BLR prediction method is then integrated into the closed loop feedback control model [1-3] to control the BLR inside the network. Our simulation results clearly show that our proposed method improves the efficiency of the closed loop feedback control model while avoiding the use of any feedback information from the network.