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WORKS workshop: Submission deadline extended to the 28th of September

From: Khalid Belhajjame <Khalid.Belhajjame@cs.man.ac.uk>
Date: Mon, 24 Sep 2012 10:51:55 +0100
Message-ID: <CAANah+FCGDF6HcK2YtMA8bhs=zJLe2uV68MP1a4F98QDUATTaA@mail.gmail.com>
To: W3C provenance WG <public-prov-wg@w3.org>, wf4ever@isoco.com, mygrid@listserv.manchester.ac.uk

              The 7th Workshop on Workflows in Support of Large-Scale Science
                                               in conjunction with SC 12

                       SUBMISSION DEADLINE EXTENDED: September 28, 2012


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
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
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
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 28, 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
Received on Monday, 24 September 2012 09:52:28 UTC

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