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********** 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.
*****************************************
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, University Luxembourg, LU
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
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