In this paper, software Inet 3.0 is applied to generate topology, which randomly generates dynamic topology nodes. Based on dynamic shortest path algorithms put forward by P.Narvaez, Xiaobin et al, we analyzed the time efficiency of dynamic and static shortest path algorithms, the different time efficiency inner dynamic shortest path algorithms, and the relationship of time efficiency between topology and dynamic shortest path algorithms. The result shows that Xiaobin algorithm is statistically better than Narvaez algorithm about 20-30 percent. Dynamic algorithms are not always better than static algorithms considering the amount of changed topology. Dynamic and static algorithms are roughly same when the amount of changed topology holds 10 percent. Dynamic algorithms perform better when less than 10 percent, otherwise static algorithms will be better. The time efficiency of dynamic algorithms is related to special topology.
Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems