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Vol-1800
urn:nbn:de:0074-1800-6
Copyright ©
2016 for the individual papers
by the papers' authors. Copying permitted for private and academic purposes.
This volume is published and copyrighted by its editors.
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WORKS 2016
Workflows in Support of Large-Scale Science
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science
co-located with The International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016)
Salt Lake City, Utah, USA, November 14, 2016.
Edited by
*
University of Notre Dame,
Center for Research Computing, Notre Dame, IN 46556, USA
**
University of Manchester,
School of Computer Science, Manchester M13 9PL, UK
Table of Contents
Session 1: Workflows and Optimization
Session 2: Automation of Workflows
Session 3: Advancing data-intensive workflows
Session 4: Advancing data-intensive workflows (lightning talks)
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Lessons Learned from Applying Big Data Paradigms to Large Scale Scientific Workflows
54-58
Silvina Caino-Lores, Andrei Lapin, Peter Kropf, Jesus Carretero
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Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows
59-63
Vitor Silva, Leonardo Neves, Renan Souza, Alvaro Coutinho, Daniel de Oliveira, Marta Mattoso
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Applications of the FACE-IT Data Science Portal and Workflow Engine for Operational Food Quality Prediction and Assessment: Mussel Farm Monitoring in the Bay of Napoli, Italy
64-68
Raffaele Montella, Alison Brizius, Diana Di Luccio, Cheryl Porter, Joshua Elliot, Ravi Madduri, David Kelly, Angelo Riccio, Ian Foster
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Performance Characterization of Scientific Workflows for the Optimal Use of Burst Buffers
69-73
Christopher S. Daley, Devarshi Ghoshal, Glenn K. Lockwood, Sudip Dosanjh, Lavanya Ramakrishnan, Nicholas J. Wright
2017-02-20: submitted by Sandra Gesing,
metadata incl. bibliographic data published under Creative Commons CC0
2017-02-28: published on CEUR-WS.org
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