Intelligent data visualization in the MONDA-SAM framework

OData support
Supervisor:
Dr. Horváth Ákos
Department of Measurement and Information Systems

In today’s world the research of the applications’ performance really comes to the front. With the help of this, we can get a picture of its behaviour under different circumstances. This procedure is indispensable in case of the constantly evolving softwers that are on the marketplace in the long run, because it can give significant information on how to improve these applications.

Since the performances in themselfs give only little information, the proper elaboration and display of the measured data is exceedingly needed. Hence it is indispensable to choose the most fitting, ad hoc softwers that are made for this purpose and which can help in the proper processing of the measurements and data.

One of the possible tools for completing and defining these kinds of measurements is MONDO-SAM Framework, which I presented in my thesis and which offers a configurable method for measuring the assets’ performance. In addition, it gives a handle to the elaboration and display of the measured results with the help of an R script. However this can only be modified hardly and with the knowledge of the R language, not to mention that the inherent configuration is really inextricable too. The other problem is that the finally obtained diagrams are static so it is required to make a new diagram every time when we only want to display a subset of the data.

The aim of my thesis is to design and develop a new dataprocessing and data visualizer for the MONDO-SAM Framework. The completed application (MONDO-SAM-REPORTING) separately executes the processing and the display of the measured results, while ensuring a broad configuration ground for both. The most important object is to simplify the configuration and to make the data’s display dynamical and filterable.

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