CFP: 13th Workflows in Support of Large-Scale Science (WORKS) Workshop

by ipietri, June 13, 2018

********** WORKS 2018 Workshop **********
Workflows in Support of Large-Scale Science Workshop
http://works.cs.cardiff.ac.uk/
Sunday 11 November 2018, Dallas, TX.
Held in conjunction with SC18, http://sc18.supercomputing.org/
Paper submission deadline: 30 July 2018

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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

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

Workflows in constrained environments e.g. IoT, Edge computing, etc.

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Important Dates

      Papers due: 30 July 2018

      Paper acceptance notification: 9 September 2018

      E-copyright registration completed by authors: 1 October 2018

      Camera-ready deadline: 1 October 2018

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, and appendices, but does not include references, for which there is no page limit. WORKS papers will be published in cooperation with TCHPC and will be available from IEEE digital repository.

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WORKS 2018 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, U Delaware, USA

– Publicity Chairs

 Ilia Pietri, Intracom SA Telecom Solutions, Greece

 Hoang Anh Nguyen, University of Queensland, Australia

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WORKS 2018 Program Committee (Tentative)

Pinar Alper, King's College London, UK

Ilkay Altintas, San Diego Supercomputer Center, USA

Khalid Belhajjame, Universit. 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,  Intracom SA Telecom Solutions, 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