FREE IEEE PAPER Web-based Automatic Network Discovery/Map Systems

SOME TEXT FROM PAPER Web-based Automatic Network Discovery/Map

The first scenario shows two maps from WANMS. In these figures, our system can display detailed networking devices, especially including the wireless access point properly.
The reason is because our auto-discovery process includes the pre-configured pattern to evaluate the specific type of networking devices. The second scenario shows the average and standard deviation of auto-discovery speed (Table II and III). With the time limitation (15 seconds), Table II shows that our system can discover up to 7 devices in average with less than 0.1 as a standard deviation. OpenNMS cannot find any devices (the first device found is at the 32nd second). For DNMA, a number of found devices are limited to 4; the DNMA’s discovery process cannot get through the firewall. the process is terminated at time around 6.65 second. Additionally, Table III shows that in both 20 and 30 devices’ scenarios, OpenNMS spent discovery time over 3 times as much as that of WANMS for the discovery process. In the third scenario, the optimized configuration for OpenNMS, i.e., limiting the number of retries, timeout, and services, the discovery process reduced from 15 to around 11 minutes. The main reason may be because of the complexity of the implementation that offers several unrelated functionalities of OpenNMS.

A new automatic network discovery/map system via Web architecture has been proposed in this paper, the socalled Web-based Automatic Network discovery/Map Systems(WANMS), as an easy-to-use/install plug-in for Cacti, one of the network monitoring open-source software, as well as a weather-map plug-in module.

WANMS embeds the networking discovery process which includes the user-defined matching rules in order to specify the networking devices properly. In addition, after the discovery process, an XML-based output is to feed into a graph visualization library using web workers and jQuery so as to automatically redraw the entire networking map with a force-directed layout algorithm.

The comparative results show that the system outperforms other techniques, i.e., OpenNMS and DNMA, in both networking discovery speed and device coverage criteria. Notice that in this paper, we experimentally performed the evaluation process over the controlled testbed within the department of Information Technology, Provincial Police Region 4, Thailand, due to the limitation and availability of the authorized administrative domain.

However, similarly, other testbeds can be evaluated as well for further study, especially for scalability purpose. Although the system can be easily integrated with Cacti, similarly to a weather-map plug-in, our future work is to embed/integrate this auto-map function into the weather-map plug-in directly so as to provide detailed statistical information. Thus, the administrators can perform similar functions directly into this module rather than using this as the preliminary maps.


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