University of Twente Student Theses


Properties Relevant for Inferring Provenance

Rajput, Abdul Ghani (2011) Properties Relevant for Inferring Provenance.

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Abstract:Provenance is an important requirement for real-time applications, especially when sensors act as a source of streams for large-scale, automated process control and decision control applications. Provenance provides important information that is essential to identify the origin of data, to reproduce the results in real-time applications as well as to interpret and validate the associated scientific results. The term provenance documents the origin of data by explicating the relationship among the input samples, the transformation and the output samples. In this thesis, we present a formal stream processing model based on discrete time signal processing. We use the formal stream processing model to investigate different data transformations and the provenance relevant characteristics of these transformations. The validity of the formal stream processing model and transformation properties is demonstrated by providing the four case studies.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
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