2nd Workshop on Workflows in Support of Large-Scale
Science (WORKS07)
In conjunction with HPDC 2007,
June 25 2007
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.
09:00 – 09:05 |
Welcome – |
09:05 – 09:50 |
Keynote Address Keynote
Address: myExperiment: Social Networking for Workflow-using e-Scientists,
Robert Stevens and |
09:50 – 10:15 |
GRIDCC:
Real-timeWorkflow system - Andrew Stephen McGough |
10:15 – 10:40 |
Cache for Workflows -
Carlo Mastroianni and |
10:40 – 11:10 |
Break |
11:10 – 11:35 |
Integrating Existing
Scientific Workflow Systems: The Kepler/Pegasus Example- |
11:35 – 12:00 |
Workflow Adaptation as
an Autonomic Computing Problem - Kevin Lee |
12:00 – 13:30 |
Lunch |
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 – |
14:45 – 15:15 |
Break |
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 |