Last update:
Apr 1, 2000
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The BABAR Prompt Reconstruction System, or Getting the Results out Fast:
an evaluation of nine months experience operating a near real-time
bulk data production system
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Thomas Glanzman
Stanford Linear Accelerator Center
for the BABAR Prompt Reconstruction and Computing Groups
Speaker:
Thomas Glanzman
The BABAR experiment at SLAC has been operational since May 1999. An
ambitious program to completely reconstruct 100% of all physics events
with two hours of their acquisition was launched. In addition, this
system would provide a nearly continuous "rolling calibration" and
extensive detector monitoring for feedback into the working
experiment. We succeeded in processing the very first PEP-II
collisions recorded by the detector within a few hours.
Keeping up with the onslaught of data for the long term, however,
proved more challenging.
Problems with code reliability, computing and network
infrastructure, Objectivity and operational efficiency prevented us
from maintaining this short latency. Increasing accelerator
luminosity and the cancellation of a much-needed scheduled down period
complicated our ability to upgrade the system. After months of
an intensive program to improve the system by dealing with code release
policies, hardware upgrades, and
extensive Objectivity development, we are now within sight of our
primary performance goals.
The focus of this paper is to summarize the more important steps
required to make this project a success with an emphasis on lessons
learned. It will also serve as an introduction for other talks
at this conference on this topic. Overall performance, current
status of the running system and future plans will also be presented.
Presentation:  | Short Paper: |
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