Issues in automatic provenance collection

  • Authors:

  • Uri Braun;Simson Garfinkel;David A. Holland;Kiran-Kumar Muniswamy-Reddy;Margo I. Seltzer

  • Affiliations:

  • Harvard University, Cambridge, Massachusetts;Harvard University, Cambridge, Massachusetts;Harvard University, Cambridge, Massachusetts;Harvard University, Cambridge, Massachusetts;Harvard University, Cambridge, Massachusetts

  • Venue:
  • IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
  • Year:
  • 2006

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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.