Speaker
Pedro Salgado
(CERN)
Description
The ATLAS Distributed Data Management system, Don Quijote2 (DQ2), has
been in use since 2004.
Its goal is to manage tens of petabytes of data per year, distributed
among the WLCG.
One of the most critical components of DQ2 is the central catalogues
which comprises a set of web services with a database back-end and a
distributed memory object caching system.
This component has proven to be very reliable and to fulfill ATLAS
requirements regarding performance and scalability.
In this paper we present the architecture of the DQ2 central
catalogues component and implementation decisions regarding
performance, scalability, replication and memory usage. The
exploitation of techniques and features of the Oracle database which
hosts the application is described together with an overview of the
disaster recovery strategy that needs to be in place to address the
requirement of high availability.
Authors
Co-authors
David Cameron
(Department of Physics, University of Oslo)
Mario Lassnig
(Distributed and Parallel Systems, University of Innsbruck)
Miguel Branco
(CERN)
Torre Wenaus
(Brookhaven National Laboratory)
Vincent Garonne
(CERN)
