[ESIP-all] CFP: The 8th Workshop on Workflows in Support of Large-Scale Science (WORKS)
Curt Tilmes
Curt.Tilmes at nasa.gov
Thu May 23 10:28:25 EDT 2013
FYI --
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Subject: CFP: The 8th Workshop on Workflows in Support of Large-Scale
Science (WORKS)
Date: Thu, 23 May 2013 07:59:58 -0500
From: Khalid Belhajjame <Khalid.Belhajjame at cs.man.ac.uk>
Apologies for cross-posting
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The 8th Workshop on Workflows in Support of Large-Scale Science
in conjunction with SC 13 (Denver, Colorado, Nov. 17th 2013)
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 Eighth 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 August 15th, 2013
- Notifications of acceptance September 21st, 2013
- Final papers due October 6th, 2013
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
Nadia Cerezo CNRS
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
Maciej Malawski AGH University of Science and Technology
Stephen McGough Newcastle University
Cesare Pautasso University of Lugano
Radu Prodan University of Innsbruck
Chase Qishi Wu University of Memphis
Omer Rana Cardiff University
David De Roure Oxford University
Rizos Sakellariou University of Manchester
Gabor Terstyanszky University of Westminster
Michael Wilde University of Chicago & Argonne National Laboratory
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