Speaker
Dr
Julius Hrivnac
(LAL)
Description
LCG experiments will contain large amount of data in relational databases.
Those data will be spread over many sites (Grid or not). Fast and easy
access will required not only from the batch processing jobs, but also
from the interactive analysis.
While many system have been proposed and developed for access to file-based
data in the distributed environment, methods of efficient access to
relational database resources have been so far largely underdeveloped.
Presentation will describe an architecture allowing seamless access
to distributed relational data from end-user clients.
Implementation is based on the standard protocols and tools, extended
with HEP-specific functionality to be easily integrated in LCG
frameworks.
Major constituents of the architecture are:
- Java as the implementation language and JDBC as the databases access protocol
- transparent access from other languages using standard interfaces
- standardly available Sequoia tool to offer single access point to
distributed database resources
- specific plugins to accommodate HEP-specific access patterns and provide
resource usage optimization via networks of transparent proxy caches
- integration in several end-user analysis tools (JAS, jHEPWork,...)
Primary author
Dr
Julius Hrivnac
(LAL)
