To estimate an optimal amount of spare capacity for a network so that efficient distributed restoration of the network can take place in the event of a network failure, parameter assumptions and network design guidelines are provided to a network modeling tool to generate a desirable amount of spare links for the network. The spare links are allocated to the different nodes of the network. After a failure in the network, the result of the restoration of the network due to the failure is reported to the controller of the system. If necessary, the parameter assumptions and network design guidelines are updated and fed back to the network modeling tool for further refining the spare capacity of the network. An optimal amount of spare capacity is thus achieved by a continuous redeployment of the spare capacity output provided by the network modeling tool. Simulated failures and subsequent restorations of the network are provided to an exerciser periodically. Results from the exerciser further enhance the operations of the network modeling tool to provide an optimal amount of spare capacity for the telecommunications network.