[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 --

-------- Original Message --------
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


     The 8th Workshop on Workflows in Support of Large-Scale Science
          in conjunction with SC 13 (Denver, Colorado, Nov. 17th 2013)

                                              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 

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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