CERN Accelerating science

ATLAS Note
Report number	ATL-SOFT-PROC-2015-013
Title	The ATLAS Software Installation System v2: a highly available system to install and validate Grid and Cloud sites via Panda
Author(s)	De Salvo, Alessandro (INFN Roma and Sapienza Universita' di Roma, Dipartimento di Fisica) ; Maeno Kataoka, Mayuko (The University of Texas at Arlington) ; Sanchez, Arturo (INFN Napoli and Universita' di Napoli, Dipartimento di Fisica, Napoli) ; Smirnov, Yuri (Northern Illinois University)
Corporate Author(s)	The ATLAS collaboration
Publication	2015
Imprint	11 May 2015
Number of pages	8
In:	J. Phys.: Conf. Ser. 664 (2015) 062012
In:	21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.062012
DOI	10.1088/1742-6596/664/6/062012
Subject category	Particle Physics - Experiment
Accelerator/Facility, Experiment	CERN LHC ; ATLAS
Abstract	The ATLAS Installation System v2 is the evolution of the original system, used since 2003. The original tool has been completely re-designed in terms of database backend and components, adding support for submission to multiple backends, including the original WMS and the new Panda modules. The database engine has been changed from plain MySQL to Galera/Percona and the table structure has been optimized to allow a full High-Availability (HA) solution over WAN. The servlets, running on each frontend, have been also decoupled from local settings, to allow an easy scalability of the system, including the possibility of an HA system with multiple sites. The clients can also be run in multiple copies and in different geographical locations, and take care of sending the installation and validation jobs to the target Grid or Cloud sites. Moreover, the Installation DB is used as source of parameters by the automatic agents running in CVMFS, in order to install the software and distribute it to the sites. The system is in production for ATLAS since 2013, having as main sites in HA the INFN Roma T2 and CERN AI. The LJSFi2 engine is directly interfacing with Panda for the Job Management, AGIS for the site parameter configurations, and CVMFS for both core components and the installation of the software itself. LJSFi2 is also able to use other plugins, and is essentially VO-agnostic, so can be directly used and extended to cope with the requirements of any Grid or Cloud enabled VO. In this work we'll present the architecture, performance, status and possible evolutions to the system for the LHC Run2 and beyond.
Copyright/License	publication: © 2015-2024 The Author(s), © 2015-2024 The Author(s) (Licenses: CC-BY-3.0, CC-BY-3.0)

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