Mapping sub-wavelength service with heterogenous security demand over physical-layer secured optical transport networks

In optical transport networks, client signals are usually aggregated to the lightpath channels for long-haul transport, and the aggregation process is referred to as service mapping. In the context of physical-layer secured optical networks, in which the lightpaths are encrypted, network operators need to consider not only the bandwidth demand but also the security demand of client services in the service mapping process. This paper mainly explores the service mapping issue, which decides the solution for aggregating service into the physical-layer secured optical transport network. First, we introduce the physical-layer secured optical transport networks and illustrate their differences from the traditional optical network. Then, we formulate the service mapping problem as an integer linear programming (ILP) model to maximize the number of successfully mapped services. To address the scalability issue of the ILP model, we further propose two security-aware service mapping algorithms based on the security constraints. Simulation results show that the ILP model can reach a 98.8% successful service mapping rate in a six-node mesh network. The successful service mapping rate of the heuristics is about 0.5% lower than the ILP model, which proves that the performance of the heuristics is very close to the ILP.