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ORCID4th WORKS@SC 2009: Portland, Oregon, USA
- Ewa Deelman, Ian J. Taylor:
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, WORKS 2009, November 16, 2009, Portland, Oregon, USA. ACM 2009, ISBN 978-1-60558-717-2 - Ahmed Alqaoud, Ian J. Taylor, Andrew Jones:
Publish/subscribe as a model for scientific workflow interoperability. - Manish Kumar Anand, Shawn Bowers, Bertram Ludäscher:
A navigation model for exploring scientific workflow provenance graphs. - Shishir Bharathi, Ann L. Chervenak:
Scheduling data-intensive workflows on storage constrained resources. - Paul Groth, Ewa Deelman, Gideon Juve, Gaurang Mehta, G. Bruce Berriman:
Pipeline-centric provenance model. - Andrew Harrison, Ian J. Taylor:
Web enabling desktop workflow applications. - Michael O. McCracken, Allan Snavely:
A simulation toolkit to investigate the effects of grid characteristics on workflow completion time. - Johan Montagnat, Benjamin Isnard, Tristan Glatard, Ketan Maheshwari, Mireille Blay-Fornarino:
A data-driven workflow language for grids based on array programming principles. - Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead
, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings:
Plasma fusion code coupling using scalable I/O services and scientific workflows. - Adina Riposan, Victor Valeriu Patriciu:
Workflow management for paramedical emergency operations within a mobile-static distributed environment. - Matthew J. Sottile, Geoffrey C. Hulette, Allen D. Malony:
Workflow representation and runtime based on lazy functional streams. - Edward Walker, Weijia Xu, Vinoth Chandar:
Composing and executing parallel data-flow graphs with shell pipes. - Jianwu Wang, Daniel Crawl, Ilkay Altintas:
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems. - Ustun Yildiz, Adnene Guabtni, Anne H. H. Ngu:
Towards scientific workflow patterns. - Daniel Zinn, Shawn Bowers, Timothy M. McPhillips, Bertram Ludäscher:
Scientific workflow design with data assembly lines.
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