Abstract
ATLAS, a particle physics experiment at the Large Hadron Collider at CERN, produces petabytes of data annually through simulation production and tens of petabytes of data per year from the detector itself. The ATLAS computing model embraces the Grid paradigm and a high degree of decentralization of computing resources in order to meet the ATLAS requirements of petabytes scale data operations. It has been evolved after the first period of LHC data taking (Run-1) in order to cope with new challenges of the upcoming Run- 2. In this paper we describe the evolution and recent developments of the ATLAS Grid Information System (AGIS), developed in order to integrate configuration and status information about resources, services and topology of the computing infrastructure used by the ATLAS Distributed Computing applications and services.
Highlights
The ATLAS experiment [1] at the Large Hadron Collider has successfully collected billions of physics collision events during the Run-1 period and is ready to operate in the upcoming LHC Run-2 during which tens of petabytes of data will be produced annually
ATLAS Grid Information System (AGIS) is the system designed to integrate configuration and status information about resources, services and topology of the computing infrastructure used by ATLAS Distributed Computing applications and services
In this paper we describe the major capabilities of AGIS as the result of system evolution, that can be expressed in a nutshell as in the following list of actions shown in Figure 1: define, connect, collect, integrate, declare, complete, operate, distribute and play – full support for the ATLAS experiment
Summary
This content has been downloaded from IOPscience. Please scroll down to see the full text. Ser. 664 062001 (http://iopscience.iop.org/1742-6596/664/6/062001) View the table of contents for this issue, or go to the journal homepage for more. Download details: IP Address: 137.138.124.206 This content was downloaded on 24/02/2016 at 13:46 Please note that terms and conditions apply. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP2015) IOP Publishing. Journal of Physics: Conference Series 664 (2015) 062001 doi:10.1088/1742-6596/664/6/062001. A Anisenkov, A Di Girolamo, M Alandes, E Karavakis on behalf of the ATLAS Collaboration
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
