[WFM-RG] Updated Submission Date for for WORKS12

[Ian Taylor]

Dear Colleague,

Please find below the updated call for papers, with a submission date extended to the 21st September, for the upcoming WORKS 12 workshop at the Supercomputing conference this year. I apologise for any cross posting,  

Ian 

The 7th Workshop on

Workflows in Support of Large-Scale Science in conjunction with SC 12

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

Call For Papers

 

Data Intensive Workflows (a.k.a. scientific workflows) are a key technology that enable the set up of large data sets analysis experiments in all scientific areas, exploiting capabilities of large-scale distributed and parallel computing infrastructures. Workflows enable scientists to design complex analysis that are composed of individual application components or services and often such components and services are designed, developed, and tested collaboratively. On large-scale computing infrastructures routinely used for e-Sciences today, workflow management systems provide both a formal description of distributed processes and an engine to enact applications composed of wealth of concurrent processes.

The size of the data and the scale of the data analysis flows often lead to complex and distributed data sets management. Workflow formalisms including adequate structures for data sets representation and concurrent processing are needed. Besides the magnitude of data processed by the workflow components, the intermediate and resulting data needs to be annotated with provenance and other information to evaluate the quality of the data and support the repeatability of the analysis.

The process of workflow design and execution in a distributed environment can be very complex and can involve multiple stages including their textual or graphical specification, the mapping of the high-level workflow descriptions onto the available resources, as well as monitoring and debugging of the subsequent execution.  Further, since computations and data access operations are performed on shared resources, there is an increased interest in managing the fair allocation and management of those resources at the workflow level.

Data-driven computations are increasingly considered to tackle the wealth of data generated by scientific instruments. Yet, scientific experiments also require the description of complex control flows. Adequate workflow descriptions are needed to support the complex workflow management process, which includes workflow creation, workflow reuse, and modifications made to the workflow over time—for example modifications to the individual workflow components. Additional workflow annotations may provide guidelines and requirements for resource mapping and execution.

The Seventh Workshop on Workflows in Support of Large-Scale Science focuses on the entire workflow lifecycle including the workflow composition, mapping, robust execution and the recording of provenance information.  The workshop also welcomes contributions in the applications area, where the requirements on the workflow management systems can be derived. The topics of the workshop include but are not limited to:

·      Data Intensive Workflows.

·      Data-driven workflow processing.

·      Workflow composition, tools and languages.

·      Workflow execution in distributed environments.

·      Workflows on the cloud.

·      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.

·      Performance analysis of workflows

·      Workflow debugging.

·      Workflow provenance.

·      Interactive workflows.

·      Workflow interoperability.

·      Mashups and workflows.

Important Dates:

Papers due September 21, 2012

Notifications of acceptance October 15, 2012

Final papers due October 22, 2012

Program Committee Chairs:         

Johan Montagnat, CNRS, France

Ian Taylor, Cardiff University, UK

Program Committee Members:
Khalid Belhajjame

University of Manchester

Adam Belloum

University of Amsterdam

Ivona Brandic

Vienna University of Technology

Marian Bubak

AGH Krakow & University of Amsterdam

Ann Chervenak

University of Southern California

Ewa Deelman

USC Information Sciences Institute

Yolanda Gil

USC Information Sciences Institute

Tristan Glatard

CNRS

Andrew Harrison

Cardiff University

Péter Kacsuk

MTA SZTAKI

Dimka Karastoyanova

Stuttgart University

Daniel S. Katz

University of Chicago & Argonne National Laboratory

Tamas Kiss

University of Westminster

Dagmar Krefting

University of Applied Sciences Berlin

Bertram Ludaescher

UC Davis

Maciej Malawski

AGH University of Science and Technology

Stephen McGough

Newcastle University

Gaurang Mehta

Universirty of Southern California

Jarek Nabrzyski

Univeristy of Notre Dame

Cesare Pautasso

University of Lugano

Radu Prodan

University of Innsbruck

Omer Rana

Cardiff University

David De Roure

Oxford University

Rizos Sakellariou

University of Manchester

Gabor Terstyanszky

University of Westminster

David Walker

Cardiff University

Michael Wilde

University of Chicago & Argonne National Laboratory

Qishi Wu

University of Memphis

Previous WORKS websites:

users.cs.cf.ac.uk/Ian.J.Taylor/works11, www.isi.edu/works10, www.isi.edu/works09, www.isi.edu/works08, www.isi.edu/works07, www.isi.edu/works06


Ian Taylor, Reader at Cardiff, and Software Consultant, USA
http://users.cs.cf.ac.uk/Ian.J.Taylor/
http://www.mendeley.com/profiles/ian-taylor/

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