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********** WORKS 2019 Workshop**********
14th Workflows in Support of Large-Scale Science Workshop
http://works.cs.cardiff.ac.uk/
Sunday 17 November 2019, Denver, CO
Held in conjunction with SC19, http://sc19.supercomputing.org/
Paper submission deadline: 15 July 2019
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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 between end-users and computing infrastructures. 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, e.g., workflows played an important role in the discovery of Gravitational Waves.
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 (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
In Situ Data Analytics Workflows
Interactive workflows (including workflow steering)
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
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Important Dates
Papers due: 15 July 2019
Paper acceptance notification: 1 September 2019
E-copyright registration completed by authors: 1 October 2019
Camera-ready deadline: 1 October 2019
Submitted papers must be at most 10 pages long. The proceedings should be formatted according to the IEEE format (see https://www.ieee.org/conferences/publishing/templates.html). The 10-page limit includes figures, tables, appendices and references. WORKS papers will be published in cooperation with TCHPC and will be available from IEEE digital repository.
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WORKS 2019 Organizing Committee
– PC Chairs
Sandra Gesing, University of Notre Dame, USA
Rafael Ferreira da Silva, University of Southern California, USA
– General Chair
Ian J. 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 Tennessee, USA
– Publicity Chairs
Ilia Pietri, Intracom SA Telecom Solutions, Greece
Hoang Anh Nguyen, University of Queensland, Australia
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WORKS 2019 Program Committee(Tentative)
Pinar Alper, University Luxembourg, LU
Ilkay Altintas, San Diego Supercomputer Center, USA
Khalid Belhajjame, Universit. Paris-Dauphine, France
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
Kyle Chard, University of Chicago, USA
Rafael Ferreira Da Silva, USC Information Sciences Institute, USA
Daniel Garijo, USC Information Sciences Institute, USA
Sandra Gesing, University of Notre Dame, USA
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
Jarek Nabrzyski, University of Notre Dame, USA
Hoang Anh Nguyen, University of Queensland, Australia
Daniel de Oliveira, Fluminense Federal University, Brazil
Radu Prodan, University of Klagenfurt, Austria
Ivan Rodero, Rutgers University, USA
Rizos Sakellariou, University of Manchester, UK
Frédéric Suter, CNRS, France
Domenico Talia, University of Calabria, Italy
Douglas Thain, University of Notre Dame, USA
Rafael Tolosana-Calasanz, Universidad de Zaragoza, Spain
Chase Wu, New Jersey Institute of Technology, USA