Speaker
Dr
Lee Lueking
(FERMILAB)
Description
The CMS Dataset Bookkeeping Service (DBS) has been developed to catalog all CMS event
data from Monte Carlo and Detector sources. It includes the ability to identify MC or
trigger source, track data provenance, construct datasets for analysis, and discover
interesting data. CMS requires processing and analysis activities at various service
levels and the system provides support for localized processing or private analysis,
as well as global access for CMS users at large. Catalog entries can be moved among
the various service levels with a simple set of migration tools, thus forming a loose
federation of databases. DBS is available to CMS users via a Python API, Command
Line, and a Discovery web page interfaces. The system is built as a multi-tier web
application with Java servlets running under Tomcat, with connecting via JDBC to
Oracle or MySQL database backends. Clients connect to the service through HTTP or
HTTPs with authentication provided by GRID certificates and authorization through
VOMS. DBS is an integral part of the overall CMS Data Management and Workflow
Management systems. The system has been in operation since March 2007, an overview of
the schema, functionality, deployment details, operational statistics and experience
will be presented.
| Submitted on behalf of Collaboration (ex, BaBar, ATLAS) | CMS Offline Data Management Group |
|---|
Primary author
Dr
Lee Lueking
(FERMILAB)
Co-authors
Dr
Andrew Dolgert
(Cornell University)
Anzar Afaq
(Fermilab)
Dr
Chris Jones
(Cornell University)
Dr
Dan Riley
(Cornell University)
Sergey Kosyakov
(Fermilab)
Dr
Valentin Kuznetsov
(Cornell University)
Vijay Sekhri
(Fermilab)
Yuyi Guo
(Fermilab)
