Speaker
Douglas Smith
(Stanford Linear Accelerator Center)
Description
The new BaBar bookkeeping system comes with tools to directly support
data analysis tasks. This Task Manager system acts as an interface
between datasets defined in the bookkeeping system, which are used as
input to analyzes, and the offline analysis framework. The Task
Manager organizes the processing of the data by creating specific jobs
to be either submitted to a batch system, or run in the background on a
local desktop, or laptop. The current system has been designed to
support pbs and lsf batch systems. Changes to defined datasets due
production is directly supported by the Task Manager, where new
collections that add to a dataset or replace other collections are
automatically detected, allowing an analysis at any time to be
up-to-date with the latest available data. The output of tasks,
whether new data collections, ntuple/hbook files, or text files, can be
put back into a collections bookkeeping system or stored in the private
Task Manager database. Currently MySQL and Oracle relational databases
are supported. The BABAR Task Manager has been in use for data
production since January this year, and the schema of the working
system will be presented.
Primary author
W. Roethel
(University of California, Irvine)
Co-authors
Alessandra Forti
(University of Manchester)
Antonio Ceseracciu
(Universita` di Padova)
David E. Hutchcroft
(University of Liverpool)
Dmitry Bukin
(Budker Institute of Nuclear Physics)
Dmytro Kovalskyi
(University of Maryland)
Douglas Smith
(Stanford Linear Accelerator Center)
Gregory Dubois-Felsmann
(California Institute of Technology)
Paul Stephen Jackson
(University of London, Royal Holloway and Bedford New College)
Tim Adye
(Rutherford Appleton Laboratory)
