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