The poster/demonstration submission deadline for the 8th IEEE/ACM
International Conference on Grid Computing (Grid2007) is fast
approaching. The poster/demonstration session offers an excellent
opportunity for researchers to present new, speculative or evolving
ideas which may not be ready for full publication. For more information
please see:
http://www.grid2007.org/?m_b_c=call_for_posterdemo
Many thanks.
Ed Walker
2nd Workshop on Workflows in Support of Large-Scale Science (WORKS07)
In conjunction with HPDC 2007, Monterey Bay, CA
June 25 2007
www.isi.edu/works07
To register: http://www.isi.edu/hpdc2007/registration.htm
In recent years workflows have emerged as a key technology that
enables large-scale computations on distributed resources. Workflows
enable scientists to design complex analysis that are composed of
individual application components or services. Often times these
components and services are designed, developed, and tested
collaboratively. Because of the size of the data and the complexity of
the analysis, large amounts of shared resources such as clusters and
storage systems are being used to store the data sets and execute the
workflows.
The process of workflow design and execution in a distributed
environment can be very complex and involve mapping high-level workflow
descriptions onto the available resources, as well as monitoring and
debugging of the subsequent execution. Because 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.
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.
Large-scale scientific applications pose several requirements on
the workflow systems. Besides the magnitude of data processed by the
workflow components, the resulting and intermediate data need to be
annotated with provenance information and any other information needed
to evaluate the quality of the data and support the repeatability of the
analysis.
The Second Workshop on Workflows in Support of Large-Scale
Science focuses on the entire workflow lifecycle including the workflow
composition, mapping, and robust execution.
Agenda
________________________________
Workflow Systems (Chair: Ewa Deelman)
09:00 - 09:05
Welcome - Ewa Deelman
09:05 - 09:50
Keynote Address Keynote Address: myExperiment: Social Networking for
Workflow-using e-Scientists, Robert Stevens and Carole Goble
09:50 - 10:15
GRIDCC: Real-timeWorkflow system - Andrew Stephen McGough
10:15 - 10:40
Cache for Workflows - Carlo Mastroianni and Ian Taylor
________________________________
10:40 - 11:10
Break
________________________________
Adaptation and Integration (Chair: Carlo Mastroianni)
11:10 - 11:35
Integrating Existing Scientific Workflow Systems: The Kepler/Pegasus
Example- Ewa Deelman
11:35 - 12:00
Workflow Adaptation as an Autonomic Computing Problem - Kevin Lee
________________________________
12:00 - 13:30
Lunch
________________________________
Workflow Applications and Models (Chair: Steven McGough)
13:30 - 13:55
Workflow automation for processing plasma fusion simulation data -
Norbert Podhorszki
13:55 - 14:20
Supporting Large-Scale Science with Workflows - Deana D Pennington
14:20 - 14:45
On the Black Art of Designing Computational Workflows - Pedro Gonzalez
________________________________
14:45 - 15:15
Break
________________________________
Short Papers (Chair: Kevin Lee)
15:15 - 15:35
WS-VLAM: Towards a Scalable Workflow System on the Grid - Vladimir
Korkhov
15:35 - 15:55
A Semantic Workflow Authoring Tool for Programming Grids - Barbara
Cantalupo
15:55 - 16:15
A Workflow Approach to Designed Reservoir Study - Gabrielle Allen
