Provenance Support for Data-Intensive Scientific Workflows

1. Hochbaum, D.S. (ed.): Approximation Algorithms for NP-Hard Problems. Course Technology, Florence (1996). ISBN: 978-0534949686

   Google Scholar 

2. Azeez, A.: Axis2 popularity exponentially increasing. http://afkham.org/2008/08/axis2-popularity-exponentially.html (URL)

3. Bose, R., Frew, J.: Lineage retrieval for scientific data processing: a survey, pp. 1–28 (2005)

   Google Scholar 

4. Bray, T., Paoli, J., Sperberg-McQueen, C.M., Maler, E., Yergeau, F., Cowan, J.: Extensible markup language (XML) 1.1 (2004)

   Google Scholar 

5. Buneman, P., Khanna, S., Tan, W.C.: Why and where: A characterization of data provenance, pp. 316–330. LNCS, London (2001)

   Google Scholar 

6. Carole, G., Robert, S., et al.: Data curation + process curation=data integration + science. Brief Bioinform. 6, 506–517 (2008)

   Google Scholar 

7. Deelman, E., Chervenak, A.: Data management challenges of data-intensive scientific workflows (2008)

   Google Scholar 

8. Deelman, E., Taylor, I.: Special issue on scientific workflows. J. Grid Comput. 3–4, 151–151 (2005)

   Article  Google Scholar 

9. Donoho, D.L., Maleki, A., et al.: Reproducible research in computational harmonic analysis, pp. 8–18 (2009)

   Google Scholar 

10. Dorigo, M., Sttzle, T.: Ant colony optimization. MIT, MA (2004)

    Book  MATH  Google Scholar 

11. Fox, G., Gannon, D.: Workflow in grid systems. pp. 1009–1019 (2006)

    Google Scholar 

12. Greenwood, M., Goble, C., et al.: Provenance of e-Science Experiments – Experience from Bioinformatics, pp. 223–226 (2003)

    Google Scholar 

13. Groth, P., Luck, M., Moreau, L.: Formalising a protocol for recording provenance in grids, pp. 147–154 (2004)

    Google Scholar 

14. Jayasinghe, D.: Quickstart Apache Axis2: A practical guide to creating quality web services. Packt Publishing (2008)

    Google Scholar 

15. Khan, F.A., Han, Y., Pllana, S., Brezany, P.: Provenance support for grid-enabled scientific workflows, pp. 173–180. IEEE, Beijing, (2008)

    Google Scholar 

16. Khan, F.A., Han, Y., Pllana, S., Brezany, P.: Estimation of parameters sensitivity for scientific workflows. In: Proceedings of International Conference on ICPP, Vienna, Austria. IEEE Computer Society (2009)

    Google Scholar 

17. Khan, F.A., Han, Y., Pllana, S., Brezany, P.: An ant-colony-optimization based approach for determination of parameter significance of scientific workflows, pp. 1241–1248 (2010)

    Google Scholar 

18. Lord, P., Macdonald, A., Lyon, L., Giaretta, D.: From data deluge to data curation, pp. 371–375 (2004)

    Google Scholar 

19. Ludaescher, B., Goble, C.: Special section on scientific workflows. SIGMOD Rec. 3, 1–2 (2005)

    Google Scholar 

20. Moreau, L., Foster, I.: Provenance and annotation of data. In: International Provenance and Annotation Workshop, LNCS. Springer, Berlin (2006)

    Google Scholar 

21. Moreau, L., Clifford, B., et. al. The Open Provenance Model Core Specification (v1.1). Future Generation Computer Systems, New York (2010)

    Google Scholar 

22. Muehlen, M.Z.: Volume versus variance: Implications of data-intensive workflows (2009)

    Google Scholar 

23. OASIS: The WS-BPEL 2.0 specification. http://www.oasis-open.org/committees/download.php/23964/wsbpel-v2.0-primer.htm (2007)

24. Rajbhandari, S., Walker, D.W.: Incorporating provenance in service oriented architecture, pp. 33–40. IEEE Computer Society, USA (2006)

    Google Scholar 

25. Rusbridge, C., Burnhill, P., Ross, S. et al.: The digital curation centre: A vision for digital curation, pp. 31–41 (2005). doi: http://doi.ieeecomputersociety.org/10.1109/LGDI.2005.1612461

26. Schroeder, R.: e-Sciences as research technologies: reconfiguring disciplines, globalizing knowledge. Soc. Sci. Inf. Surles Sci. Sociales 2, 131–157 (2008). doi: 10.1177/ 0539018408089075

    Google Scholar 

27. Simmhan, Y., Plale, B., Gannon, D.: A survey of data provenance in e-Science, pp. 31–36 (2005)

    Google Scholar 

28. Simmhan, Y.L., Plale, B., Gannon, D.: Karma2: Provenance management for data-driven workflows. Int. J. Web Service Res. 2, 1–22 (2008)

    Article  Google Scholar 

29. Stevens, R.D., Tipney, H.J., Wroe, C.J., et al.: Exploring Williams-Beuren syndrome using myGrid. In: In Proceedings of 12th International Conference on Intelligent Systems in Molecular Biology (2003)

    Google Scholar 

30. Szomszor, M., Moreau, L.: Recording and reasoning over data provenance in web and grid services, pp. 603–620 (2003)

    Google Scholar 

31. Talbi, E.G.: Metaheuristics: From design to implementation (Wiley Series on Parallel and Distributed Computing). Wiley, NY (2009). http://www.amazon.com/Metaheuristics-Design-Implementation-El-Ghazali-Talbi/dp/0470278587

32. Tan, W.C.: Research problems in data provenance, pp. 45–52 (2004)

    Google Scholar 

33. Taylor, I.J., Deelman, E., Gannon, D.B., Shields, M. (eds.): Workflows for e-Science: Scientific workflows for grid. Springer, Berlin (2006)

    Google Scholar 

34. Uri, B., Avraham, S., Margo, S.: Securing provenance, pp. 1–5. USENIX Association, CA, (2008)

    Google Scholar 

35. Zhao, J., Goble, C., Greenwood, M., Wroe, C., Stevens, R.: Annotating, linking and browsing provenance logs for e-Science, pp. 158–176 (2003)

    Google Scholar 

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