Abstract
In order to monitor the OSPF (Open Shortest Path First) large-scale autonomous system in real time, for the shortcomings of current topology discovery methods based on OSPF protocol, firstly a hierarchical modelling method of OSPF large-scale autonomous system is proposed, which describes the autonomous system quantitatively. Secondly, a topology generation algorithm based on the link state database and an autonomous system model comparison algorithm are put forward in this paper. Finally, the experiment of monitoring the autonomous system in the actual network is carried out. The link state database is collected on any router in each OSPF area. The experiments show that the model and algorithm can be used to obtain the network topology map completely and accurately without the extra network burden, and to monitor the changes of network topology in real time. The model and algorithm proposed in this paper are helpful to realize the topology generation and monitoring of the large-scale autonomous system.
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