Abstract is missing.
- Scientific workflow reuse through conceptual workflows on the virtual imaging platformNadia Cerezo, Johan Montagnat. 1-10 [doi]
- Workflow overhead analysis and optimizationsWeiwei Chen, Ewa Deelman. 11-20 [doi]
- Provenance for MapReduce-based data-intensive workflowsDaniel Crawl, Jianwu Wang, Ilkay Altintas. 21-30 [doi]
- Supporting dynamic parameter sweep in adaptive and user-steered workflowJonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fabio Porto, Alvaro L. G. A. Coutinho, Marta Mattoso. 31-36 [doi]
- Optimizing bioinformatics workflows for data analysis using cloud management techniquesVincent C. Emeakaroha, Pawel P. Labaj, Michael Maurer, Ivona Brandic, David P. Kreil. 37-46 [doi]
- A new approach for publishing workflows: abstractions, standards, and linked dataDaniel Garijo, Yolanda Gil. 47-56 [doi]
- Provenance opportunities for WS-VLAM: an exploration of an e-science and an e-business approachMichael Gerhards, Volker Sander, Torsten Matzerath, Adam Belloum, Dmitry Vasunin, Ammar Benabdelkader. 57-66 [doi]
- Object reuse and exchange for publishing and sharing workflowsAndrew Harrison, Ian Harvey, Andrew Jones, David Rogers, Ian Taylor. 67-76 [doi]
- Making data analysis expertise broadly accessible through workflowsMatheus Hauder, Yolanda Gil, Ricky J. Sethi, Yan Liu, Hyunjoon Jo. 77-86 [doi]
- Exploring workflow interoperability tools for neuroimaging data analysisVladimir Korkhov, Dagmar Krefting, Tamas Kukla, Gábor Terstyánszky, Matthan W. A. Caan, Sílvia Delgado Olabarriaga. 87-96 [doi]
- IWIR: a language enabling portability across grid workflow systemsKassian Plankensteiner, Johan Montagnat, Radu Prodan. 97-106 [doi]
- Failure prediction and localization in large scientific workflowsTaghrid Samak, Dan Gunter, Monte Goode, Ewa Deelman, Gaurang Mehta, Fabio Silva, Karan Vahi. 107-116 [doi]
- Characterizing quality of resilience in scientific workflowsRafael Tolosana-Calasanz, Marco Lackovic, Omer F. Rana, José A. Bañares, Domenico Talia. 117-126 [doi]
- Achieving reproducibility by combining provenance with service and workflow versioningSimon Woodman, Hugo Hiden, Paul Watson, Paolo Missier. 127-136 [doi]
- AME: an anyscale many-task computing engineZhao Zhang, Daniel S. Katz, Matei Ripeanu, Michael Wilde, Ian T. Foster. 137-146 [doi]