[hpc-announce] 11th Workflows in Support of Large-Scale Science (WORKS) Workshop

[Rafael Ferreira da Silva]

**** WORKS 2016 Workshop ****
Workflows in Support of Large-Scale Science
Monday, 14 November 2016, Salt Lake City, Utah.
Held in conjunction with SC16 The International Conference for High Performance Computing, Networking, Storage and Analysis
http://works.cs.cardiff.ac.uk/

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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 of end-users and computing infrastructures. With the drastic 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.

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
    Workflow composition, tools, and languages
    Workflow execution in distributed environments
    Workflows on the cloud
    Dynamic data dependent workflow systems solutions
    Exascale computing with workflows
    Workflow refinement tools that can manage the workflow mapping     process
    Workflow fault-tolerance and recovery techniques
    Workflow user environments, including portals
    Workflow applications and their requirements
    Adaptive workflows
    Workflow monitoring
    Workflow optimizations (including scheduling and energy efficiency)
    Performance analysis of workflows
    Workflow debugging
    Workflow provenance
    Interactive workflows
    Workflow interoperability
    Reproducible computational research using workflows

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Paper Submission

Important Dates
    Papers Due: August 31, 2016
    Notifications of Acceptance: September 20, 2016
    Final Papers Due: October 9, 2016

The paper must be at most 10 pages long. The proceedings should be formatted according to http://www.acm.org/publications/proceedings-template and the proceedings will be published in http://ceur-ws.org. Extended versions will be invited to a special issue in a high-ranked journal. Negotiations with Future Generation Computer Systems are underway.

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WORKS 2016 Organizing Committee

- PC Chairs
Sandra Gesing, University of Notre Dame, USA
Rizos Sakellariou, University of Manchester, UK

- General Chairs
Johan Montagnat, French National Center for Scientific Research (CNRS), Sophia Antipolis, France
Ian 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, University of Delaware, USA

- Publicity Chairs
Rafael Ferreira da Silva, USC, USA
Ilia Pietri, University of Athens, Greece

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WORKS 2016 Program Committee

Ilkay Altintas, UCSD, USA
Khalid Belhajjame, Paris-Dauphine University, France
Adam Belloum, University of Amsterdam, the Netherlands
Ivona Brandic, Vienna University of Technology, Austria
Marian Bubak, AGH Krakow, Poland
Raj Buyya, University of Melbourne, Australia
Ann Chervenak, USC Information Sciences Institute, USA
Daniel de Oliveira, Fluminense Federal University (UFF), Brazil
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
Peter Kacsuk, MTA SZTAKI, Hungary
Daniel S. Katz, NCSA, USA
Tamas Kiss, University of Westminster, UK
Dagmar Krefting, University of Applied Sciences Berlin, Germany
Maciej Malawski, AGH University of Science and Technology, Poland
Anirban Mandal, UNC Chapel Hill, USA
Andrew Stephen McGough, Newcastle University, UK
Paolo Missier, Newcastle University, UK
Jarek Nabrzyski, University of Notre Dame, USA
Ilia Pietri, University of Athens, Greece
Radu Prodan, University of Innsbruck, Austria
Chase Qishi Wu, New Jersey Institute of Technology, USA
Omer Rana, Cardiff University, UK
Rizos Sakellariou, University of Manchester, UK
Domenico Talia, UNICAL, Italy
Andrei Tchernykh, CICESE Research Center, Mexico
Gabor Terstyanszky, University of Westminster, UK
Rafael Tolosana, University of Zaragoza, Spain



--
Rafael Ferreira da Silva, PhD
Research Assistant Professor at USC/ISI
www.rafaelsilva.com


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