Computing Technical Design Report

4.1 Introduction

One of the principal challenges for ATLAS computing is to develop and operate a data storage and management infrastructure able to meet the demands of a yearly data volume of O(10 PB) utilized by data processing and analysis activities spread around the world. The ATLAS Computing Model discussed in Chapter 2 establishes the environment and operational requirements that ATLAS data handling systems must support, and, together with the operational experience gained to date in test beams and data challenges, provides the primary guidance for the development of the systems described below.

In May 2004 the ATLAS Databases and Data Management Project (DB Project) was established to lead and coordinate ATLAS activities in these areas, with a scope encompassing technical databases (detector production, installation and survey data), detector geometry, online/TDAQ databases, conditions databases (online and offline), event data, offline processing configuration and book-keeping, distributed data management, and distributed database and data management services. The project is responsible for ensuring the coherent development, integration and operational capability of the distributed database and data management software and infrastructure for ATLAS across these areas.

This chapter describes the work completed, under way and planned within the DB Project to meet the data-handling needs of ATLAS at startup and beyond.



4 July 2005 - WebMaster

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