Abstract
Automatic provenance collection describes systems that observe processes and data transformations inferring, collecting, and maintaining provenance about them. Automatic collection is a powerful tool for analysis of objects and processes, providing a level of transparency and pervasiveness not found in more conventional provenance systems. Unfortunately, automatic collection is also difficult. We discuss the challenges we encountered and the issues we exposed as we developed an automatic provenance collector that runs at the operating system level. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Braun, U., Garfinkel, S., Holland, D. A., Muniswamy-Reddy, K. K., & Seltzer, M. I. (2006). Issues in automatic provenance collection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4145 LNCS, pp. 171–183). Springer Verlag. https://doi.org/10.1007/11890850_18
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