CFP: The 8th Workshop on Workflows in Support of Large-Scale Science (WORKS)

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)
                                    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