Sorry for the cross posting ...
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WORKS'11 Call for Papers
The 6th Workshop on Workflows in Support of Large-Scale Science
in conjunction with SC 11, Seattle, USA, Nov. 12-18 2011
http://works.cs.cardiff.ac.uk/
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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 Sixth 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 submission: September 18, 2011
Event: November 14, 2011
=== Program Committee Chairs:
Ian Taylor, Cardiff University, UK
Johan Montagnat, CNRS, France
=== Program Committee Members (tentative):
Adam Belloum, University of Amsterdam
Ivona Brandic, Vienna University of Technology
Marian Bubak, AGH Krakow / Universiteit van Amsterdam
Ewa Deelman, USC Information Sciences Institute
Thomas Fahringer, University of Innsbruck
Carole Goble, University of Manchester
Andrew Harrison, Cardiff University
Peter Kacsuk, MTA Sztaki Research Institute
Daniel S. Katz, University of Chicago & Argonne National Laboratory
Tamas Kiss, University of Westminster
Tevfik Kosar, Louisiana State University
Dagmar Krefting, Institut fur Medizinische Informatik Charite Universitatsmedizin Berlin
Bertram Ludaescher, University of California Davis
Stephen McGough, Newcastle University
Gaurang Mehta, University of Southern California
Jarek Nabrzyski, University 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, Computation Institute, University of Chicago and Argonne National Laboratory
Qishi Wu, University of Memphis
=== Paper submission
The workshop submission system is EasyChair, accessible from http://works.cs.cardiff.ac.uk/paper_submission.php
Papers submitted to this workshop should be in ACM format (http://www.acm.org/sigs/publications/proceedings-templates, latex users should use the Alternate style), and no longer than 10 pages. Short papers of up to 6 pages can also be submitted. The papers should be original and not previously published. Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop topics.
Ian Taylor, Reader, and Software Consultant
http://users.cs.cf.ac.uk/Ian.J.Taylor/http://www.mendeley.com/profiles/ian-taylor/
I am sorry if you receive multiple copies of this call for papers ...
Ian
================================================================
WORKS'11 Call for Papers
The 6th Workshop on Workflows in Support of Large-Scale Science
in conjunction with SC 11, Seattle, USA, Nov. 12-18 2011
http://works.cs.cardiff.ac.uk/
================================================================
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 Sixth 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 submission: September 4, 2011
Event: November 14, 2011
=== Program Committee Chairs:
Ian Taylor, Cardiff University, UK
Johan Montagnat, CNRS, France
=== Program Committee Members (tentative):
Adam Belloum, University of Amsterdam
Ivona Brandic, Vienna University of Technology
Marian Bubak, AGH Krakow / Universiteit van Amsterdam
Ewa Deelman, USC Information Sciences Institute
Thomas Fahringer, University of Innsbruck
Carole Goble, University of Manchester
Andrew Harrison, Cardiff University
Peter Kacsuk, MTA Sztaki Research Institute
Daniel S. Katz, University of Chicago & Argonne National Laboratory
Tamas Kiss, University of Westminster
Tevfik Kosar, Louisiana State University
Dagmar Krefting, Institut fur Medizinische Informatik Charite Universitatsmedizin Berlin
Bertram Ludaescher, University of California Davis
Stephen McGough, Newcastle University
Gaurang Mehta, University of Southern California
Jarek Nabrzyski, University 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, Computation Institute, University of Chicago and Argonne National Laboratory
Qishi Wu, University of Memphis
=== Paper submission
The workshop submission system is EasyChair, accessible from http://works.cs.cardiff.ac.uk/paper_submission.php
Papers submitted to this workshop should be in ACM format (http://www.acm.org/sigs/publications/proceedings-templates, latex users should use the Alternate style), and no longer than 10 pages. Short papers of up to 6 pages can also be submitted. The papers should be original and not previously published. Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop topics.
Ian Taylor, Reader, and Software Consultant
http://users.cs.cf.ac.uk/Ian.J.Taylor/http://www.mendeley.com/profiles/ian-taylor/
