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 con- trol and decision control applications. Provenance provides important informa- tion 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 scien- ti�c 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 charac- teristics 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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