Speaker
With a forward look to future evolution, discuss the issues you have encountered (or that you expect) in using the EGEE infrastructure. Wherever possible, point out the experience limitations (both in terms of existing services or missing functionality)
K-Wf Grid is originally developed based on Globus Toolkit 4. The
work is beging
ported to gLite middleware using WSRF job submission service
adapter, that
receives jobs from the knowledge-based workflow management system
and
submits it into gLite.
Report on the experience (or the proposed activity). It would be very important to mention key services which are essential for the success of your activity on the EGEE infrastructure.
The K-Wf Grid system consists of several layers. The user
interacts with the top
layer, can access the service workflows using an interactive
workflow GUI, and
can access collaborative knowledge base, existing workflows, and
results using
the User Assistant. The top layer also provides access to results
(intermediate
as well as final ones). All these tools are integrated in one
web-based portal.
The actual middleware layer consists of a workflow management
system, a
knowledge store, and modules for monitoring, performance
analysis, and
performance prediction. The filtered monitoring information is
processed in the
performance prediction module, where new facts are created and
stored in the
knowledge store. This knowledge store is then queried during
workflow
construction/execution for best available services.
Describe the scientific/technical community and the scientific/technical activity using (planning to use) the EGEE infrastructure. A high-level description is needed (neither a detailed specialist report nor a list of references).
The Knowledge-based Workflow System for Grid Applications (K-Wf
Grid) project
addresses the need for a better infrastructure for the future
Grid environment.
Describe the added value of the Grid for the scientific/technical activity you (plan to) do on the Grid. This should include the scale of the activity and of the potential user community and the relevance for other scientific or business applications
The K-WfGrid project introduces several new ideas and innovations
in the area
of Grid workflow application development, application of
knowledge-based
technology and performance monitoring services.
The main innovation of the K-WfGrid workflow management
technology includes
a novel approach of supporting knowledge-based workflow
orchestration and
Grid Service selection by means of an expert system.
K-WfGrid will develop an ontological app
