Dear Colleague,
Please find below the updated call for papers, with a submission date extended to the 21st September, for the upcoming WORKS 12 workshop at the Supercomputing conference this year. I apologise for any cross posting,
Ian
The 7th Workshop on
Workflows in Support of Large-Scale Science in conjunction with SC 12
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 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 21, 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
Previous WORKS websites:
users.cs.cf.ac.uk/Ian.J.Taylor/works11, www.isi.edu/works10, www.isi.edu/works09, www.isi.edu/works08, www.isi.edu/works07, www.isi.edu/works06
Ian Taylor, Reader at Cardiff, and Software Consultant, USA
http://users.cs.cf.ac.uk/Ian.J.Taylor/http://www.mendeley.com/profiles/ian-taylor/
