International Workshop on Applications of Workflows in Computational Science (AWCS 08)

  • Adam Belloum
  • Zhiming Zhao
  • Marian Bubak
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5103)


The goal of the Workshop on Applications of Workflows in Computational Sciences (WACS) is to provide a forum for sharing knowledge and experience on developing workflow applications, and to highlight important requirements for developing workflow systems. This short paper gives an overview on scientific workflow management systems and their application in e-Science, and introduces the topics of the Workshop. Several research focuses on utilizing scientific workflow in enhancing e-Science applications and on developing workflow management systems will be enumerated.


scientific workflow e-Science application integration data management resource discovery frameworks security 


  1. 1.
    DAGMan. Directed acyclic graph manager (2005),
  2. 2.
    Gil, Y., Deelman, E., Blythe, J., Kesselman, C., Tangmunarunkit, H.: Artificial intelligence and grids: Workflow planning and beyond. IEEE Intelligent Systems 19(1), 26–33 (2004)CrossRefGoogle Scholar
  3. 3.
    Oinn, T., Addis, M., Ferris, J., Marvin, D., Senger, M., Greenwood, M., Carver, T., Glover, K., Pocock, M.R., Wipat, A., Li, P.: Taverna: A tool for the composition and enactment of bioinformatics workflows. Bioinformatics Journal, online (June 16, 2004)Google Scholar
  4. 4.
    Altintas, I., Berkley, C., Jaeger, E., Jones, M., Ludäscher, B., Mock, S.: Kepler: An extensible system for design and execution of scientific workflows. In: SSDBM, pp. 423–424 (2004)Google Scholar
  5. 5.
    Wibisono, A., Belloum, A., Inda, M., Roos, M., Breit, T., Hetrzberger, L.O., Korkhov, V., Vasunin, D.: Vlam-g: Interactive dataflow driven engine for grid-enabled resources. Scientific Programming 15(3), 173–188 (2007)Google Scholar
  6. 6.
    Goble, C.A., De Roure, D.C.: myexperiment: social networking for workflow-using e-scientists. In: WORKS 2007: Proceedings of the 2nd workshop on Workflows in support of large-scale science, pp. 1–2. ACM, New York (2007)Google Scholar
  7. 7.
    VL-e. Virtual laboratory for e-science (2005),
  8. 8.
    Zhao, Z., Booms, S., Belloum, A., de Laat, C., Hertzberger, B.: Vle-wfbus: a scientific workflow bus for multi e-science domains. In: Proceedings of the 2nd IEEE International conference on e-Science and Grid computing, Amsterdam, the Netherlands, December 4- 6, 2006, pp. 11–19. IEEE Computer Society Press, Los Alamitos (2006)Google Scholar
  9. 9.
    Taylor, I., Deelman, E., Gannon, D., Shields, M. (eds.): Workflows for e-Science. Springer, Heidelberg (2007)Google Scholar
  10. 10.
    Gil, Y., et al.: Examining the Challenges of Scientific Workflows. IEEE Computer 40(12), 24–32 (2007)Google Scholar
  11. 11.
    Bubak, M., Unger, S. (eds): K-WfGrid - The Knowledge-based Workflow System for Grid Applications. In: Proceedings of CGW 2006, vol. II,, ISBN 978-83-915141-8-4
  12. 12.
    Lee, S., Wang, T.D., Hashmi, N., Cummings, M.P.: Bio-STEER: A Semantic Web Workflow Tool for Grid Computing in the Life Sciences. Future Generation Computer Systems 23(3), 497–509 (2007)CrossRefGoogle Scholar
  13. 13.
    Truong, H.-L., Dustdar, S., Fahringer, T.: Performance Metrics and Ontologies for Grid Workflows. Future Generation Computer Systems, vol 23(6), 760–772 (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Adam Belloum
    • 1
  • Zhiming Zhao
    • 1
  • Marian Bubak
    • 1
    • 2
  1. 1.Informatics InstituteUniversity of AmsterdamAmsterdamthe Netherlands
  2. 2.Institute of Computer Science AGHKrakowPoland

Personalised recommendations