CERN Accelerating science

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1.
Optimizing distributed file storage and processing engines for CERN's Large Hadron Collider using multi criteria partitioned replication / Boychenko, Serhiy (CERN) ; Zerlauth, Markus (CERN) ; Garnier, Jean-Christophe (CERN) ; Zenha-Rela, Mario (Coimbra U.)
Throughout the last decades, distributed file systems and processing engines have been the primary choice for applications requiring access to large amounts of data. Since the introduction of the MapReduce paradigm, relational databases are being increasingly replaced by more efficient and scalable architectures, in particular in environments where a query is expected to process TBytes or even PBytes of data in a single execution. [...]
2018 - 11 p. - Published in : 10.1145/3154273.3154320
In : 19th International Conference on Distributed Computing and Networking, Varanasi, India, 4 - 7 Jan 2018, pp.1-11
2.
Scaling Up the Deployment and Operation of an ELK Technology Stack / Boychenko, Serhiy (CERN) ; Martel, Pedro (CERN) ; Schofield, Brad (CERN)
Since its integration into the CERN industrial controls environment, the SCADA Statistics project has become a valuable asset for controls engineers and hardware experts in their daily monitoring and maintenance tasks. The adoption of the tool outside of the Industrial Controls and Safety Systems group scope is currently being evaluated by ALICE, since they have similar requirements for alarms and value changes monitoring in their experiment. [...]
2019 - 5 p. - Published in : 10.18429/JACoW-ICALEPCS2019-WEPHA139
In : 17th Biennial International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS), New York, United States, 5 - 11 Oct 2019, pp.WEPHA139
3.
A Distributed Analysis Framework for Heterogeneous Data Processing in HEP Environments / Boychenko, Serhiy
During the last extended maintenance period, CERNs Large Hadron Collider (LHC) and most of its equipment systems were upgraded to collide particles at an energy level almost twice higher compared to previous operational limits, significantly increasing the damage potential to accelerator components [...]
CERN-THESIS-2017-438 - 168 p.

Fulltext
4.
Multi-criteria partitioning on distributed file systems for efficient accelerator data analysis and performance optimization / Boychenko, Serhiy (CERN) ; Galilee, Marc-Antoine (CERN) ; Garnier, Jean-Christophe (CERN) ; Zenha-Rela, Mario (Coimbra U.) ; Zerlauth, Markus (CERN)
Since the introduction of the MapReduce paradigm, relational databases are being increasingly replaced by more efficient and scalable architectures, in particular in environments where a query will process Terabtes or even Petabytes of data in a single execution. The same tendency is observed at CERN, where data archiving systems for operational accelerator data are already working well beyond their initially provisioned capacity. [...]
2018 - 6 p. - Published in : 10.18429/JACoW-ICALEPCS2017-THPHA036 Fulltext: PDF;
In : International Conference on Accelerator and Large Experimental Physics Control Systems, Barcelona, Spain, 8 - 13 Oct 2017, pp.THPHA036
5.
Smooth Migration of CERN Post Mortem Service to a Horizontally Scalable Service / Garnier, Jean-Christophe (CERN) ; Aguilera-Padilla, Cesar (CERN) ; Boychenko, Serhiy (CERN) ; Dragu, Matei (CERN) ; Galilée, Marc-Antoine (CERN) ; Koza, Mateusz (CERN) ; Krol, Kamil (CERN) ; Martins Ribeiro, Tiago (CERN) ; Orlandi, Roberto (CERN) ; Poeschl, Matthias (CERN) et al.
The Post Mortem service for CERNs accelerator complex stores and analyses transient data recordings of various equipment systems following certain events, like a beam dump or magnet quenches. The main purpose of this framework is to provide fast and reliable diagnostic to the equipment experts and operation crews to decide whether accelerator operation can continue safely or whether an intervention is required. [...]
2015 - 4 p. - Published in : 10.18429/JACoW-ICALEPCS2015-WEPGF047 Fulltext: PDF; External link: JACoW
In : 15th International Conference on Accelerator and Large Experimental Physics Control Systems, Melbourne, Australia, 17 - 23 Oct 2015, pp.WEPGF047
6.
Towards a Second Generation Data Analysis Framework for LHC Transient Data Recording / Boychenko, Serhiy (CERN) ; Aguilera-Padilla, Cesar (CERN) ; Dragu, Matei (CERN) ; Galilée, Marc-Antoine (CERN) ; Garnier, Jean-Christophe (CERN) ; Koza, Mateusz (CERN) ; Krol, Kamil (CERN) ; Orlandi, Roberto (CERN) ; Poeschl, Matthias (CERN) ; Ribeiro, Tiago (CERN) et al.
During the last two years, CERNs Large Hadron Collider (LHC) and most of its equipment systems were upgraded to collide particles at an energy level twice higher compared to the first operational period between 2010 and 2013. System upgrades and the increased machine energy represent new challenges for the analysis of transient data recordings, which have to be both dependable and fast. [...]
2015 - 4 p. - Published in : 10.18429/JACoW-ICALEPCS2015-WEPGF046 Fulltext: PDF; External link: JACoW
In : 15th International Conference on Accelerator and Large Experimental Physics Control Systems, Melbourne, Australia, 17 - 23 Oct 2015, pp.WEPGF046
7.
Second Generation LHC Analysis Framework: Workload-based and User-oriented Solution / Boychenko, Serhiy (CERN) ; Aguilera-Padilla, Cesar (CERN) ; Galilée, Marc-Antoine (CERN) ; Garnier, Jean-Christophe (CERN) ; Gorzawski, Arkadiusz (CERN) ; Krol, Kamil (CERN) ; Makai, Jozsef (CERN) ; Osinski, Maciej (CERN) ; Poeschl, Matthias (CERN) ; Rela, Mario (Coimbra U.) et al.
Consolidation and upgrades of accelerator equipment during the first long LHC shutdown period enabled particle collisions at energy levels almost twice higher compared to the first operational phase. Consequently, the software infrastructure providing vital information for machine operation and its optimisation needs to be updated to keep up with the challenges imposed by the increasing amount of collected data and the complexity of analysis. [...]
CERN-ACC-2016-195.- 2016 - 4 p. - Published in : 10.18429/JACoW-IPAC2016-WEPOR051 Published version from JACoW: PDF;
In : 7th International Particle Accelerator Conference, Busan, Korea, 8 - 13 May 2016, pp.WEPOR051

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