A framework for demand assigned capacity management (DACM) in IP over optical networks

The demand assigned capacity management (DACM) problem in IP over optical (IPO) network aims at devising efficient bandwidth replenishment schedules from the optical domain conditioned upon traffic evolution processes in the IP domain. A replenishment schedule specifies the location, sizing, and sequencing of link capacity expansions to support the growth of Internet traffic demand in the IP network subject to economic considerations. We develop mathematical models to address the DACM problem in IPO networks within a deterministic context based on a class of inventory management replenishment methods. We apply the technique to IPO networks that implement noncapacity adaptive routing in the IP domain and analyze the performance characteristics in terms of minimizing cumulative replenishment cost over an interval of time. This study represents an application of integrated traffic engineering which concerns collaborative decision making targeted towards network performance improvement that takes into consideration traffic demands, control capabilities, and network assets at different levels in the network hierarchy.