Trade-offs in Automatic Provenance Capture

M. Stamatogiannakis, H. Kazmi, H. Sharif, R. Vermeulen, A. Gehani, H.J. Bos, P.T. Groth

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Abstract

Automatic provenance capture from arbitrary applications is a challenging problem. Different approaches to tackle this problem have evolved, most notably a. system-event trace analysis, b. compile-time static instrumentation, and c. taint flow analysis using dynamic binary instrumentation. Each of these approaches offers different trade-offs in terms of the granularity of captured provenance, integration requirements, and runtime overhead. While these aspects have been discussed separately, a systematic and detailed study, quantifying and elucidating them, is still lacking. To fill this gap, we begin to explore these trade-offs for representative examples of these approaches for automatic provenance capture by means of evaluation and measurement. We base our evaluation on UnixBench—a widely used benchmark suite within systems research. We believe this approach will make our results easier to compare with future studies.
Original languageEnglish
Title of host publicationProvenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings
PublisherSpringer
Pages29-41
ISBN (Electronic)978-3-319-40592-6
DOIs
Publication statusPublished - 2016

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume9672

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