Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

CRISTAL-ISE : Provenance Applied in Industry (1402.6742v1)

Published 26 Feb 2014 in cs.DB and cs.SE

Abstract: This paper presents the CRISTAL-iSE project as a framework for the management of provenance information in industry. The project itself is a research collaboration between academia and industry. A key factor in the project is the use of a system known as CRISTAL which is a mature system based on proven description driven principles. A crucial element in the description driven approach is that the fact that objects (Items) are described at runtime enabling managed systems to be both dynamic and flexible. Another factor is the notion that all Items in CRISTAL are stored and versioned, therefore enabling a provenance collection system. In this paper a concrete application, called Agilium, is briefly described and a future application CIMAG-RA is presented which will harness the power of both CRISTAL and Agilium.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (9)
  1. Jetendr Shamdasani (14 papers)
  2. Andrew Branson (14 papers)
  3. Richard McClatchey (46 papers)
  4. Coralie Blanc (1 paper)
  5. Florent Martin (11 papers)
  6. Pierre Bornand (1 paper)
  7. Sandra Massonnat (1 paper)
  8. Olivier Gattaz (1 paper)
  9. Patrick Emin (1 paper)
Citations (14)

Summary

We haven't generated a summary for this paper yet.