Operational Aspects of Dealing with the Large BaBar Data Set | Zendy

Artem Trunov | Zendy

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Operational Aspects of Dealing with the Large BaBar Data Set

Author(s) -

Artem Trunov

Publication year - 2003

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/813245

Subject(s) - set (abstract data type) , computer science , data set , database , objectivity (philosophy) , data science , data mining , information retrieval , programming language , artificial intelligence , philosophy , epistemology

To date, the BaBar experiment has stored over 0.7PB of data in an Objectivity/DB database. Approximately half this data-set comprises simulated data of which more than 70% has been produced at more than 20 collaborating institutes outside of SLAC. The operational aspects of managing such a large data set and providing access to the physicists in a timely manner is a challenging and complex problem. We describe the operational aspects of managing such a large distributed data-set as well as importing and exporting data from geographically spread BaBar collaborators. We also describe problems common to dealing with such large datasets.

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