Dynamic value-based lightpath allocation in DWDM networks

We propose an algorithm for dynamically allocating end-to-end lightpaths in a WDM network, that can be used in a number of applications (IP over fiber dynamic bandwidth brokers and optical bandwidth exchanges). The optimization target is to maximize the perceived value of the traffic traversing it. We investigate the impact of elastic and inelastic demands on the problem as well as the discrete nature of the WDM circuits and the scarcity of the resource allocated. We compare our algorithm with the alternative of virtual segmentation of the pool of wavelengths between different type of demands and we show the benefits in a series of simulations