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* Corresponding author 1 MADYNES - Management of dynamic networks and services Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services 2 CAMUS - Compilation pour les Architectures MUlti-coeurS Inria Nancy - Grand Est, ICube - Laboratoire des sciences de l-ingénieur, de l-informatique et de l-imagerie

Abstract : Running experiments on modern systems like supercomput-ers, cloud infrastructures or P2P networks became very complex, both technically and methodologically. It is difficult to rerun an experiment or understand its results even with technical background on the technology and methods used. Storing the provenance of experimental data, i.e., storing information about how the results were produced, proved to be a powerful tool to address similar problems in computational natural sciences. In this paper, we 1 survey provenance collection in various domains of computer science, 2 introduce a new classification of prove-nance types, and 3 sketch a design of a provenance system inspired by this classification.

Autor: Tomasz Buchert - Lucas Nussbaum - Jens Gustedt -



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