Last update:
Apr 1, 2000
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Data clustering research in CMS
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Koen Holtman
CERN
Speaker:
Koen Holtman
The clustering of objects in an object database is the mapping of
objects to locations on physical storage media like disk farms and
tapes. The performance of the database, and the physics application
on top of it, depends crucially on having a good match between the
object clustering and the database access patterns of the physics
application. We discuss the results and conclusions of a 3-year
research project on clustering and reclustering, that has been
performed by CMS as part of its contribution to RD45. We focus on the
implications of the project results for the long term LHC computing
strategy and risk analysis. We give an overview of the risks related
to the I/O capacity needs for LHC physics analysis, and discuss how
the use of automatic reclustering systems can mitigate some of these
risks. Based on our project experience, we also speculate on which
risks can be successfully handled, for example through
large scale simulation studies.
Presentation:  | Short Paper:  |
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