WORKS: Workflows in Support of Large-Scale Science

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2021 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
WORKS 2020 15th Workshop on Workflows in Support of Large-Scale Science
Nov 11, 2020 - Nov 11, 2020 Online event Sep 6, 2020
WORKS 2019 14th Workflows in Support of Large-Scale Science Workshop
Nov 17, 2019 - Nov 17, 2019 Denver, CO Aug 26, 2019
WORKS 2018 13th Workflows in Support of Large-Scale Science Workshop
Nov 11, 2018 - Nov 11, 2018 Dallas, TX Aug 13, 2018
WORKS 2016 11th Workflows in Support of Large-Scale Science (WORKS) Workshop
Nov 14, 2016 - Nov 14, 2016 Salt Lake City, Utah Sep 7, 2016
WORKS 2010 5th Workshop on Workflows in Support of Large-Scale Science
Nov 14, 2010 - Nov 14, 2010 New Orleans, USA Sep 3, 2010
WORKS 2008 Third Workshop on Workflows in Support of Large-Scale Science
Nov 17, 2008 - Nov 17, 2008 Austin, TX, USA Sep 12, 2008
 
 

Present CFP : 2020

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Call For Papers (Final deadline extension: September 6, 2020)

15th Workshop on Workflows in Support of Large-Scale Science (WORKS20)

to be held in conjunction with SC 2020 and in cooperation with IEEE TCHPC
November 11, Online event

https://works-workshop.org
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Important Dates
---------------
Full paper deadline: September 6, 2020
Paper acceptance notification: September 30, 2020
E-copyright registration completed by authors: October 5, 2020
Camera-ready deadline: October 5, 2020
Workshop: November 11, 2020 – Online event

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Submission Guidelines:
Submissions are limited to 8 pages in the IEEE format (see https://www.ieee.org/conferences/publishing/templates.html). The 8-page limit includes figures, tables, appendices, and references. WORKS papers this year will be published in cooperation with TCHPC and will be available from IEEE digital repository.

All submitted papers will undergo a rigorous review process and each will have at least three reviews by members of the program committee. Papers will be accepted based on their technical contributions.

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Workshop Description:

Scientific workflows have been almost universally used across scientific domains and have underpinned some of the most significant discoveries of the past several decades. Workflow management systems (WMSs) provide abstraction and automation which enable a broad range of researchers to easily define sophisticated computational processes and to then execute them efficiently on parallel and distributed computing systems. As workflows have been adopted by a number of scientific communities, they are becoming more complex and require more sophisticated workflow management capabilities. A workflow now can analyze terabyte-scale data sets, be composed of one million individual tasks, require coordination between heterogeneous tasks, manage tasks that execute for milliseconds to hours, and can process data streams, files, and data placed in object stores. The computations can be single core workloads, loosely coupled computations, or tightly all within a single workflow, and can run in dispersed computing platforms.

This workshop focuses on the many facets of scientific 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: scientific workflows representation and enactment; workflow scheduling techniques to optimize the execution of the workflow on heterogeneous 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.

WORKS20 will be held in conjunction with the SuperComputing (SC20).

Topics
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WORKS20 welcomes original submissions in a range of areas, including but 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
* Workflow optimizations (including scheduling and energy efficiency)
* Performance analysis of workflows
* Workflow debugging
* Workflow provenance
* Machine Learning workflows

Papers should present original research and should provide sufficient background material to make them accessible to the broader community.

---------------------------------

Organizing Committee
- Rafael Ferreira da Silva, University of Southern California, USA
- Rosa Filgueira, University of Edinburgh, UK

General Chair
- Ian Taylor, Cardiff University, UK, University of Notre Dame, USA

Steering Committee
- David Abramson, University of Queensland, Australia
- Malcolm Atkinson, University of Edinburgh, UK
- Ewa Deelman, University of Southern California, USA
- Michela Taufer, University of Tennessee

Publicity Chair
- Hoang Anh Nguyen, University of Queensland, Australia

Program Committee
- Pinar Alper – King's College London, UK
- Ilkay Altintas – SDSC, USA
- Khalid Belhajjame Universit. Paris-Dauphine, France
- Ivona Brandic – TU Wien, Austria
- Silvina Caino-Lores - University of Tennessee, USA
- Henri Casanova – University of Hawaii at Manoa, USA
- Thomas Fahringer - University of Innsbruck
- Rafael Ferreira da Silva – USC/ISI, USA
- Daniel Garijo – USC/ISI, USA
- Sandra Gesing – University of Notre Dame, USA
- Tristan Glatard – Concordia University, Canada
- Daniel Katz – UIUC, USA
- Anirban Mandal – RENCI, USA
- Maciej Malawski, AGH, Poland
- Marta Mattoso – UFRJ, Brazil
- Loic Pottier - USC/ISI, USA
- Radu Prodan – University of Klagenfurt, Austria
- Ivan Rodero – Rutgers University, USA
- Rizos Sakellariou – University of Manchester, UK
- Renan Souza – IBM Research, Brazil
- Frédéric Suter – CNRS, France
- Domenico Talia – University of Calabria, Italy
- Douglas Thain – University of Notre Dame, USA
- Chase Wu – NJ Institute of Technology, USA

 

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