[HTCondor-users] CFP: 12th Workflows in Support of Large-Scale Science (WORKS) Workshop

[Ilia Pietri <ipietri@xxxxxxxxx>]

******* WORKS 2017 Workshop *******

Workflows in Support of Large-Scale Science Workshop

Monday, 13 November 2017, Denver, Colorado, USA.

Held in conjunction with SC17, The International Conference for High Performance Computing, Networking, Storage and Analysis

http://works.cs.cardiff.ac.uk/

Paper submission deadline: 30 July 2017

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Call For Papers

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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.

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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.

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The topics of the workshop include but are not limited to:

ÂÂÂÂÂÂÂBig Data analytics workflows

ÂÂÂÂÂÂÂData-driven workflow processing (including stream-based workflows)

ÂÂÂÂÂÂÂWorkflow composition, tools, and languages

ÂÂÂÂÂÂÂWorkflow execution in distributed environments (including HPC, clouds, and grids)

ÂÂÂÂÂÂÂReproducible computational research using workflows

ÂÂÂÂÂÂÂDynamic data dependent workflow systems solutions

ÂÂÂÂÂÂÂExascale computing with workflows

ÂÂÂÂÂÂÂWorkflow fault-tolerance and recovery techniques

ÂÂÂÂÂÂÂWorkflow user environments, including portals

ÂÂÂÂÂÂÂWorkflow applications and their requirements

ÂÂÂÂÂÂÂAdaptive workflows

ÂÂÂÂÂÂÂWorkflow optimizations (including scheduling and energy efficiency)

ÂÂÂÂÂÂÂPerformance analysis of workflows

ÂÂÂÂÂÂÂWorkflow debugging

ÂÂÂÂÂÂÂWorkflow provenance

ÂÂÂÂÂÂÂInteractive workflows (including workflow steering)

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Paper Submission

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Important Dates

ÂÂÂÂÂÂÂPapers Due: 30 July 2017

ÂÂÂÂÂÂÂNotifications of Acceptance: 9 September 2017

ÂÂÂÂÂÂÂE-copyright registration completed by authors: 1 October 2017

ÂÂÂÂÂÂÂFinal Papers Due: 1 October, 2017

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The paper must be at most 10 pages long. The proceedings should be formatted according to http://www.acm.org/publications/proceedings-template. WORKS papers this year will be published in collaboration with SIGHPC and will be available from both ACM and IEEE digital repositories.

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WORKS 2017 Organizing Committee

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â PC Chairs

ÂÂÂSandra Gesing, University of Notre Dame, USA

ÂÂÂRizos Sakellariou, University of Manchester, UK

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â General Chairs

ÂÂÂJohan Montagnat, French National Center for Scientific Research (CNRS), Sophia Antipolis, France

ÂÂÂIan Taylor, Cardiff University, UK and University of Notre Dame, USA

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â Steering Committee

ÂÂÂDavid Abramson, University of Queensland, Australia

ÂÂÂMalcolm Atkinson, University of Edinburgh, UK

ÂÂÂEwa Deelman, USC, USA

ÂÂÂMichela Taufer, University of Delaware, USA

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â Publicity Chairs

ÂÂÂRafael Ferreira da Silva, USC, USA

ÂÂÂIlia Pietri, University of Athens, Greece

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WORKS 2017 Program Committee

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Pinar Alper, King's College London, UK

Ilkay Altintas, San Diego Supercomputer Center, USA

Khalid Belhajjame, Università 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, University of Athens, 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