Hi Maryam, I am not sure what you mean by Condor-G meta-scheduling. In our work we use the Pegasus Workflow Management System (http://pegasus.isi.edu) to map an abstract
(resource-independent) DAG onto the distributed resources. As part of the
mapping, Pegasus adds nodes to the DAG to stage the data to the execution sites
and move the results off. Our workflow execution engine, DAGMan uses Condor-G to send the
jobs in the workflow to the grid sites. The results do not have to come back to
the submitter. If you don’t want to save the intermediate products, they will
just exist on the remote sites for the duration of the workflow and only the
final data will be brought back to where you want it to go. If intermediate data
needs to be moved between sites, it will be done via 3rd party, so
that the submitter is not involved. For large data is it usually better to just transfer it from A to
B directly. When jobs are mapped to the same site and there is shared file
system on that site, B can access the data directly. Please let me know if you have any questions, Thanks, -Ewa From:
condor-users-bounces@xxxxxxxxxxx [mailto:condor-users-bounces@xxxxxxxxxxx] On
Behalf Of Maryam Khademi Hi, |