14th Workflows in Support of Large-Scale Science Workshop

by ipietri, June 7, 2019

********** 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