OpenFlow makes up for traditional network, but network session identification
is inefficient and packet forwarding path selection is poor. Focusing on forwarding
path and matching; we propose OGMD model which combin GPU with biological sequence
algorithms and machine learning methods to accelerate matching speed and to
improve network environment, we also proposed matching algorithm and path selection
algorithm. Experiments show matching algorithm gives a speedup of 325 and path
selection algorithm makes link loss rate less than 5%, with an average decline
69.35% and network delay less than 20 msec, average fell 63.28%.