Abstract

During the LHC Run-1, Grid resources in ATLAS have been managed by the PanDA and DQ2 systems. In order to meet the needs for the LHC Run-2, Prodsys2 and Rucio are used as the new ATLAS Workload and Data Management systems.The data are stored under various formats in ROOT files and end-user physicists have the choice to use either the ATHENA framework or directly ROOT. Within the ROOT data analysis framework it is possible to perform analysis of huge sets of ROOT files in parallel with PROOF on clusters of computers (usually organised in analysis facilities) or multi-core machines. In addition, PROOF-on-Demand (PoD) can be used to enable PROOF on top of an existing resource management system.In this work, we present the first performance obtained enabling PROOF-based analysis at CERN and in some of the Italian ATLAS Tier-2 sites within the new ATLAS workload system. Benchmark tests of data access with the httpd protocol, using also the httpd redirector, will be shown. We also present results on the startup latency tests using the new PROOF functionality of dynamic workers addition, which improves the performance of PoD using Grid resources. These new results will be compared with the expected improvements discussed in a previous work.

Highlights

  • The LHC Run-2 has just started and the ATLAS [1] computing system Prodsys1 was updated to Prodsys2 [2], in order to meet the increased experiment requirements

  • New functionalities were introduced by adding to PanDA [3] two new components: DEFT and JEDI to manage tasks and jobs definition and to optimize the workload [4], while the data management system changed from DQ2 to Rucio [5]

  • The Dynamic Federation system allows to couple distributed storage endpoints with HTTP/WebDAV and S3 protocols and exposes a dynamic unique name space, built on the fly by merging metadata items taken on demand from the endpoints [6]

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Summary

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Tests of PROOF-on-Demand with ATLAS Prodsys and first experience with HTTP federation. This content has been downloaded from IOPscience. Please scroll down to see the full text. Ser. 664 042019 (http://iopscience.iop.org/1742-6596/664/4/042019) 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 12:38 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) 042019 doi:10.1088/1742-6596/664/4/042019. Antonelli on behalf of the ATLAS collaboration. CERN, CH - 1211 Geneva 23, Switzerland 2 INFN Laboratori Nazionali di Frascati, via E.

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