Thank you for all the messages of congratulations on my acquirement of 31.536 M seconds of existence. After the winter break My "mother" has started again and will soon start to give me more siblings; so I am going to be getting less attention than I did 11 months ago. Plus my mother has changed how she sends my children around the world so I expect that my children will do fewer trips to other houses. However, I do still have descendants in 131 of the 705 of the rooms that ATLAS have.
Of these 131 rooms; 41 only have 1 resident, but the top four rooms have 561, 508, 472 and 192 residents!
30 March 2011
09 March 2011
How to build a Data Grid
Went yesterday to a collaboration meeting for OOI; their oceanographic data grid is a collaboration with IC and QMUL. What is interesting is their completely different approach to building a "data grid" from how we've done it.
Building data grids was the subject of our (GridPP storage and data management) presentation at AHM last year (how to build an infrastructure that'll cope with LHC data); and an extended version will be presented at ISGC in a few weeks (more infrastructure focus, less LHC.)
While ours was essentially communication, policies, and trust, theirs is a very computersciencey approach - a message based infrastructure which promotes data to a "first class citizen" and uses formal methods (via Scribble) to implement distributed systems with "guaranteed correct behaviour." Interestingly they have about the same data rates from their sensor networks as we have in T1. Their data stream will compress to 700 MB/s.
We have thought about using formal methods before (mostly in proposals that weren't funded :-)), so it will be interesting to compare their approach to existing data grids like ESG or WLCG. Furthermore, some of their tools, like Scribble, may well find uses in some of our other projects.
(BTW, I am calling these grids "data grids," but not as much in the SRB/iRODS sense. As someone pointed out in the session, the emphasis in (any) grid processing sensor or instrument data is on the data. Computation can in principle be redone but sensor data can never be recaptured.)
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