Fair Resource Allocation in Optical Networks under Tidal Traffic

We propose an α-fair routing and spectrum allocation (RSA) framework for reconIlgurable elastic optical networks under modeled tidal trafIlc, that is based on the maximization of the social welfare function parameterized by a scalar α (the inequality aversion parameter). The objective is to approximate an egalitarian spectrum allocation (SA) that maximizes the minimum possible SA over all connections contending for the network resources, shifting from the widely used utilitarian SA that merely maximizes the network efIlciency. A set of existing metrics are examined (i.e., connection blocking, resource utilization, coefIlcient of variation (CV) of utilities), and a set of new measures are also introduced (i.e., improvement on connection over(COP) and under-provisioning (CUP), CV of unserved trafIlc), allowing a network operator to derive and evaluate in advance a set of α-fair RSA solutions and select the one that best Ilts the performance requirements of both the individual connections and the overall network. We show that an egalitarian SA better utilizes the network resources by signiIlcantly improving both COP (up to 20%) and CUP (up to 80%), compared to the utilitarian allocation, while attaining zero blocking. Importantly, the CVs of utilities and unserved trafIlc indicate that a SA that is fairest with respect to the amount of utilities allocated to the connections does not imply that the SA is also fairest with respect to the achievable QoS of the connections, while an egalitarian SA better approximates a fairest QoS-based SA.