Day to day network size gradually increased due to increase the need of networks. By using the basic tools we cannot able to troubleshoot the network errors effectively within the time. At the same time one of the major problem is to identify the problem location also major difficult in large data centers. Administrator using the rudimentary tools such as ping and trace route not able to identify the fault location, functional and performance problem. We proposed an automated network packet testing to identify the network problems and fault localization. Dynamic contents are used to identify the collision queue in the network it easy to analyze the problem to debugging network. Finer-grained test agents are used to identify the root cause for the congestion disappears in the short time. The model is used to generate the minimum number of test packets to identify the link in the network and maximum number of test packets is used to exercise the every rule in the network. © Research India Publications.