**** WORKS 2016 Workshop ****
Workflows in Support of Large-Scale Science
Monday, 14 November 2016, Salt Lake City, Utah.
Held in conjunction with SC16 The International Conference for High
Performance Computing, Networking, Storage and Analysis http://works.cs.cardiff.ac.uk/

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Call For Papers

Data-Intensive Workflows (a.k.a. scientific workflows) are routinely used
in most scientific disciplines today, especially in the context of
parallel and distributed computing. Workflows provide a systematic way of describing the analysis, and rely on workflow management systems to
execute the complex analyses on a variety of distributed resources. They
are at the interface of end-users and computing infrastructures. With the drastic increase of raw data volume in every domain, they play an even
more critical role to assist scientists in organizing and processing their
data and to leverage HPC or HTC resources.
This workshop focuses on the many facets of data-intensive workflow
management systems, ranging from job execution to service management and
the coordination of data, service, and job dependencies. The workshop
therefore covers a broad range of issues in the scientific workflow
lifecycle that include: data-intensive workflows representation and
enactment; designing workflow composition interfaces; workflow mapping techniques that may optimize the execution of the workflow; workflow
enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related
to scientific workflows such as semantic technologies, compiler methods,
fault detection, and tolerance.
The topics of the workshop include but are not limited to:
Big Data analytics workflows
Data-driven workflow processing
Workflow composition, tools, and languages
Workflow execution in distributed environments
Workflows on the cloud
Dynamic data dependent workflow systems solutions
Exascale computing with workflows
Workflow refinement tools that can manage the workflow mapping process
Workflow fault-tolerance and recovery techniques
Workflow user environments, including portals
Workflow applications and their requirements
Adaptive workflows
Workflow monitoring
Workflow optimizations (including scheduling and energy efficiency)
Performance analysis of workflows
Workflow debugging
Workflow provenance
Interactive workflows
Workflow interoperability
Reproducible computational research using workflows

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Paper Submission

Important Dates
Papers Due: August 31, 2016
Notifications of Acceptance: September 20, 2016
Final Papers Due: October 9, 2016
The paper must be at most 10 pages long. The proceedings should be
formatted according to
http://www.acm.org/publications/proceedings-template and the proceedings
will be published in http://ceur-ws.org. Extended versions will be invited to a special issue in Future Generation Computer Systems.

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Keynote Speaker: Prof. David Abramson, University of Queensland, Australia

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WORKS 2016 Organizing Committee

- PC Chairs
Sandra Gesing, University of Notre Dame, USA
Rizos Sakellariou, University of Manchester, UK
- General Chairs
Johan Montagnat, French National Center for Scientific Research (CNRS),
Sophia Antipolis, France
Ian Taylor, Cardiff University, UK and University of Notre Dame, USA
- Steering Committee
David Abramson, University of Queensland, Australia
Malcolm Atkinson, University of Edinburgh, UK
Ewa Deelman, USC, USA
Michela Taufer, University of Delaware, USA
- Publicity Chairs
Rafael Ferreira da Silva, USC, USA
Ilia Pietri, University of Athens, Greece

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WORKS 2016 Program Committee

Ilkay Altintas, UCSD, USA
Khalid Belhajjame, Paris-Dauphine University, France
Adam Belloum, University of Amsterdam, the Netherlands
Ivona Brandic, Vienna University of Technology, Austria
Marian Bubak, AGH Krakow, Poland
Raj Buyya, University of Melbourne, Australia
Ann Chervenak, USC Information Sciences Institute, USA
Daniel de Oliveira, Fluminense Federal University (UFF), Brazil
Ewa Deelman, USC Information Sciences Institute, USA
Rafael Ferreira Da Silva, USC Information Sciences Institute, USA
Daniel Garijo, USC Information Sciences Institute, USA
Sandra Gesing, University of Notre Dame, USA
Tristan Glatard, CNRS, France
Peter Kacsuk, MTA SZTAKI, Hungary
Daniel S. Katz, NCSA, USA
Tamas Kiss, University of Westminster, UK
Dagmar Krefting, University of Applied Sciences Berlin, Germany
Maciej Malawski, AGH University of Science and Technology, Poland
Anirban Mandal, UNC Chapel Hill, USA
Andrew Stephen McGough, Newcastle University, UK
Paolo Missier, Newcastle University, UK
Jarek Nabrzyski, University of Notre Dame, USA
Ilia Pietri, University of Athens, Greece
Radu Prodan, University of Innsbruck, Austria
Chase Qishi Wu, New Jersey Institute of Technology, USA
Omer Rana, Cardiff University, UK
Rizos Sakellariou, University of Manchester, UK
Domenico Talia, UNICAL, Italy
Andrei Tchernykh, CICESE Research Center, Mexico
Gabor Terstyanszky, University of Westminster, UK
Rafael Tolosana, University of Zaragoza, Spain

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