SC06

Meetings

• Discussion with ORNL and Ultralight to set up REDDnet nodes at ORNL

Demo Participation

SRM

Contact: Alex Sim of LBL <ASim@lbl.gov>

This is only for SRM v2.2 implementations with the updated WSDL.

We'll use srm-tester to make put/put_done/bring-onling/get/release/remove,
and the same with space reservation (with space token). In addition, we'll
have srmLs. Then, we'll have srmCopy for a remote copy from a gridftp server and from
another SRM server.  Lastly, we'll have two SRMs involved in a coordinated
remote copy by get_1/put_2/gridftp_between_1_2/release_1/put_done_2/srmLs_2/remove_2.  

All tests will be repeated, and will not leave any left-over files by
removing the previous test.
We'll prepare some gui to show the in-between progresses, and the result on
the GUI itself as well as on the web.

All current 6 implementations on 7 sites are following: 

CERN - DPM
FNAL - dCache
INFN - StoRM
LBNL - SRM
RAL, CERN - CASTOR
VU - LStore

Any non-implemented and un-supported methods in a site will be screened in
advance and will be skipped for the demo.  The servers are expected to be up
and running during the SC06 (11/12-11/16/2006)

I'll need to ask you your institutional logo and project title, etc when we
prepare the slides, etc. If you do not want to participate in the SC06 demo, please let me know.

Distributed visualization Facility

Contact: Jian Huang of UTK (huang@cs.utk.edu) Probable participants: VU, ORNL

Creating a multiuser visualization facility based on distributed and heterogeneous resources has proved to be an elusive challenge for the high performance computing and visualization community. We have developed a highly deployable solution to this problem. Our solution uses a collection freely available, unscheduled and unreserved storage and computing resources, distributed across the network, to provide the essential infrastructure that such a visualization facility needs. Our demonstration will show that large scale visualization of cutting edge simulation datasets can be shared among multiple distributed users from the same pool of distributed resources, requiring only a standard Internet connection for each user.