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Title: Managing the BABAR Object Oriented Database

Abstract

The BaBar experiment stores its data in an Object Oriented federated database supplied by Objectivity/DB(tm). This database is currently 350TB in size and is expected to increase considerably as the experiment matures. Management of this database requires careful planning and specialized tools in order to make the data available to physicists in an efficient and timely manner. We discuss the operational issues and management tools that were developed during the previous run to deal with this vast quantity of data at SLAC.

Authors:
Publication Date:
Research Org.:
Stanford Linear Accelerator Center, Menlo Park, CA (US)
Sponsoring Org.:
USDOE Office of Science (US)
OSTI Identifier:
801772
Report Number(s):
SLAC-PUB-9182
TRN: US0204713
DOE Contract Number:  
AC03-76SF00515
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 26 Aug 2002
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; 43 PARTICLE ACCELERATORS; PLANNING; DATA BASE MANAGEMENT; COMPUTER ARCHITECTURE; ACCELERATOR FACILITIES; MEMORY DEVICES; INFORMATION SYSTEMS

Citation Formats

Hasan, Adil. Managing the BABAR Object Oriented Database. United States: N. p., 2002. Web. doi:10.2172/801772.
Hasan, Adil. Managing the BABAR Object Oriented Database. United States. doi:10.2172/801772.
Hasan, Adil. Mon . "Managing the BABAR Object Oriented Database". United States. doi:10.2172/801772. https://www.osti.gov/servlets/purl/801772.
@article{osti_801772,
title = {Managing the BABAR Object Oriented Database},
author = {Hasan, Adil},
abstractNote = {The BaBar experiment stores its data in an Object Oriented federated database supplied by Objectivity/DB(tm). This database is currently 350TB in size and is expected to increase considerably as the experiment matures. Management of this database requires careful planning and specialized tools in order to make the data available to physicists in an efficient and timely manner. We discuss the operational issues and management tools that were developed during the previous run to deal with this vast quantity of data at SLAC.},
doi = {10.2172/801772},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Aug 26 00:00:00 EDT 2002},
month = {Mon Aug 26 00:00:00 EDT 2002}
}

Technical Report:

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