[HTCondor-users] [DEADLINE EXTENDED] CFP: 14th Workflows in Support of Large-Scale Science Workshop

[Pietri Ilia <ilpiet@xxxxxxxxxxxxxxxxxxxx>]

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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: 26 August 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
    Â  Papers due: 26 August 2019 (EXTENDED)
    Â  Paper acceptance notification: 20 September 2019
    Â  E-copyright registration completed by authors: 1 October 2019
    Â  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
â PC Chairs
   Sandra Gesing, University of Notre Dame, USA
   Rafael Ferreira da Silva, University of Southern California, USA

â General Chair
   Ian J. Taylor, Cardiff University, UK and University of Notre Dame, USA

â Steering Committee
   David Abramson, University of Queensland, Australia
   Malcolm Atkinson, University of Edinburgh, UK
   Ewa Deelman, USC, USA
   Michela Taufer, University of Tennessee, USA

â 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
FrÃdÃric 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