CFP: 12th Workflows in Support of Large-Scale Science (WORKS) Workshop

by ipietri, June 20, 2017

********** WORKS 2017 Workshop **********
Workflows in Support of Large-Scale Science Workshop
http://works.cs.cardiff.ac.uk/
Monday 13 November 2017, Denver, Colorado, USA.
Held in conjunction with SC17, http://sc17.supercomputing.org/
Paper submission deadline: 30 July 2017

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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
high-performance, parallel and distributed computing. They provide a
systematic way of describing a complex scientific process and rely on
sophisticated workflow management systems to execute on a variety of
parallel and distributed resources. With the dramatic 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, being at the interface between end-users and computing
infrastructures.

This workshop focuses on the many facets of data-intensive workflow
management systems, ranging from actual execution to service management and
the coordination and optimization of data, service and job dependencies.
The workshop 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 to optimize the execution of the workflow for different
infrastructures; 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, scheduling and fault detection and
tolerance.

The topics of the workshop include but are not limited to:
       Big Data analytics workflows
       Data-driven workflow processing (including stream-based workflows)
       Workflow composition, tools, and languages
       Workflow execution in distributed environments (including HPC,
clouds, and grids)
       Reproducible computational research using workflows
       Dynamic data dependent workflow systems solutions
       Exascale computing with workflows
       Workflow fault-tolerance and recovery techniques
       Workflow user environments, including portals
       Workflow applications and their requirements
       Adaptive workflows
       Workflow optimizations (including scheduling and energy efficiency)
       Performance analysis of workflows
       Workflow debugging
       Workflow provenance
       Interactive workflows (including workflow steering)

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Important Dates
       Papers Due: 30 July 2017
       Notifications of Acceptance: 9 September 2017
       E-copyright registration completed by authors: 1 October 2017
       Final Papers Due: 1 October 2017

Submitted papers must be at most 10 pages long. The proceedings should be
formatted according to http://www.acm.org/publications/proceedings-template.
WORKS papers will be published in collaboration with SIGHPC and will be
available from both ACM and IEEE digital repositories.

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WORKS 2017 Organizing Committee
– PC Chairs
   Sandra Gesing, University of Notre Dame, USA
   Rizos Sakellariou, University of Manchester, UK

– General Chairs
   Johan Montagnat, 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, University of Southern California, 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 2017 Program Committee

Pinar Alper, King's College London, UK
Ilkay Altintas, San Diego Supercomputer Center, USA
Khalid Belhajjame, Université Paris-Dauphine, France
Adam Belloum, University of Amsterdam, the Netherlands
Ivona Brandic, TU Wien, Austria
Kris Bubendorfer, Victoria University of Wellington, New Zealand
Jesus Carretero, Universidad Carlos III de Madrid, Spain
Henri Casanova, University of Hawaii at Manoa, USA
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
Daniel Katz, University of Illinois Urbana-Champaign, USA
Tamas Kiss, University of Westminster, UK
Dagmar Krefting, HTW Berlin, Germany
Maciej Malawski, AGH University of Science and Technology, Poland
Anirban Mandal, Renaissance Computing Institute, USA
Marta Mattoso, Federal Univ. Rio de Janeiro, Brazil
Andrew Stephen Mcgough, Newcastle University, UK
Paolo Missier, Newcastle University, UK
Jarek Nabrzyski, University of Notre Dame, USA
Daniel de Oliveira, Fluminense Federal University, Brazil
Ilia Pietri, University of Athens, Greece
Radu Prodan, University of Innsbruck, Austria
Omer Rana, Cardiff University, UK
Ivan Rodero, Rutgers University, USA
Rizos Sakellariou, University of Manchester, UK
Domenico Talia, University of Calabria, Italy
Rafael Tolosana-Calasanz, Universidad de Zaragoza, Spain
Chase Wu, New Jersey Institute of Technology, USA