ICCS WSES

BOF Discussion

Possible Topics Scientific workflows and Grid infrastructure

Utilization of computing resources in scientific workflows;

Virtual Organizations, e.g., AAA issues; Industrial standards

Web services and data intensive applications Workflow languages, BPEL and BPML, in scientific

computing Software engineering in developing scientific workflows and systems Agent technologies in workflow systems Engineering disciplines in developing workflow systems Utilizing unstable academic workflow systems in e-

Science applications

Possible Topics - 2 Scientific workflow systems usage and different levels of user support Automatic flow composition Dynamic workflows and human in the loop

computing Data provenance and analysis

Generic e-Science framework and knowledge transfer for different application domains Knowledge infrastructure in scientific workflows Interoperability among workflows and workflow

systems

Having another workshop in E-Science 2006?

Today’s talks

Today’s presentations: MS WFF, Taverna, Kepler, JBPM-JBoss, BPEL4WS, GridCC,

ICENI, Triana, KWfGrid, Hermes Distributed scheduling and file transfer Use of workflows as middleware Conceptual abstractions over executable layers

Interoperability One size doesn’t fit all!

Usability is important! User analysis Intuitive interfaces and methodologies

Discussion-1: I. ALTINTAS Access to heterogeneous data and computational resources

Secure and seamless access to multiple virtual organizations using multiple roles

Frameworks to efficiently connect to the existing data and integrate heterogeneous data from multiple resources

An extensible and customizable graphical user interface for scientists from different scientific domains

Link to different domain knowledge, and to invoke multiple applications and analysis tools

Support computational experiment creation, execution, sharing, reuse and provenance

Discussion-1: I.ALTINTAS

Track provenance of workflow design (=evolution), execution, and intermediate and final results’

Efficient failure recovery and smart re-runs Support the full scientific process

Use and control instruments, networks and observatories in observing steps

Scientifically and statistically analyze and control the data collected by the observing steps,

Set up simulations as testbeds for possible observatories

Do all these in a secure way!!!

NOTES Good end-user interaction

Who are the users? How do we break the ice? Iterative development? Create multi-disciplinary teams Semantics and knowledge-base aid

How should I start if there’s no ontology? What is the point scientific workflows and business

workflows split? How about dynamic and adaptive workflows? Not everything can be modeled as a service No need to standardize the computation model, but standards are

needed to interoperate Actors (processors) in the workflow system should be designed free

of technologies

NOTES-2

Topics of interest for the next workshop Applications Complete experiment lifecycle Fault tolerance in execution Enactment models Process definition tools Lessons learned Methodologies for workflow construction