By Topic

The ATLAS Experience With Databases for Structured Data With Temporal and Hierarchical Order

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)

Developing systems for the ATLAS (A Toroidal LHC ApparatuS) detector at LHC poses a new set of challenges like the storage of enormous amounts of data with different structures. This data is not only traditional Conditions Data which is slowly evolving data but also data from the online systems which cannot be stored with the event data but must be accessible from each event, like run information. Following the requirements from such systems we have developed a system which provides the facility to store structural data in a time order and with the possibility to classify hierarchically. We will also present a case study of use in the online systems of the ATLAS experiment where this system was used to store online data. Furthermore, we will show the different interfaces developed for this system and its use in different areas of application

Published in:

IEEE Transactions on Nuclear Science  (Volume:53 ,  Issue: 4 )