CERN Accelerating science

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2017-12-14
07:05
Integration of Oracle and Hadoop: Hybrid databases affordable at scale / Canali, L (CERN) ; Baranowski, Z (CERN) ; Kothuri, P (CERN)
This work reports on the activities aimed at integrating Oracle and Hadoop technologies for the use cases of CERN database services and in particular on the development of solutions for offloading data and queries from Oracle databases into Hadoop-based systems. The goal and interest of this investigation is to increase the scalability and optimize the cost/performance footprint for some of our largest Oracle databases. [...]
2017 - 8 p. - Published in : J. Phys. : Conf. Ser. 898 (2017) 042055 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.042055

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2017-12-14
07:05
A comparison of different database technologies for the CMS AsyncStageOut transfer database / Ciangottini, D (INFN, Perugia) ; Balcas, J (Caltech) ; Mascheroni, M (Fermilab) ; Rupeika, E A (Vilnius U.) ; Vaandering, E (Fermilab) ; Riahi, H (CERN) ; Silva, J M D (Sao Paulo, IFT) ; Hernandez, J M (Madrid, CIEMAT) ; Belforte, S (INFN, Trieste) ; Ivanov, T T (Sofiya U.)
AsyncStageOut (ASO) is the component of the CMS distributed data analysis system (CRAB) that manages users transfers in a centrally controlled way using the File Transfer System (FTS3) at CERN. It addresses a major weakness of the previous, decentralized model, namely that the transfer of the user’s output data to a single remote site was part of the job execution, resulting in inefficient use of job slots and an unacceptable failure rate. [...]
2017 - 6 p. - Published in : J. Phys. : Conf. Ser. 898 (2017) 042048 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.042048

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2017-12-14
07:05
Gaudi evolution for future challenges / Clemencic, M (CERN) ; Hegner, B (CERN) ; Leggett, C (LBL, Berkeley)
The LHCb Software Framework Gaudi was initially designed and developed almost twenty years ago, when computing was very different from today. It has also been used by a variety of other experiments, including ATLAS, Daya Bay, GLAST, HARP, LZ, and MINERVA. [...]
2017 - 3 p. - Published in : J. Phys. : Conf. Ser. 898 (2017) 042044 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.042044

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2017-12-14
07:05
Upgrades for the CMS simulation / Hildreth, M (Notre Dame U. ; Fermilab) ; Ivanchenko, V N (CERN ; Geant4 Assoc. ; Tomsk State U.) ; Lange, D J (Princeton U.) /CMS
We report the current status of the full simulation application developed by the CMS experiment. For LHC run-II, CMS is using Geant4 10.0p02 built in sequential mode. [...]
2017 - 6 p. - Published in : J. Phys. : Conf. Ser. 898 (2017) 042040 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.042040

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2017-12-14
07:05
Track pattern recognition for the SHiP Spectrometer Tracker / Hushchyn, M (Yandex Sch. Data Anal., Moscow ; Moscow, MIPT) ; Ustyuzhanin, A (Yandex Sch. Data Anal., Moscow ; Higher Sch. of Economics, Moscow) ; Alenkin, O (Moscow, MIPT) ; Van Herwijnen, E (CERN)
SHiP is a new proposed fixed-target experiment at the CERN SPS accelerator. The goal of the experiment is to search for hidden particles predicted by models of Hidden Sectors. [...]
2017 - 7 p. - Published in : J. Phys. : Conf. Ser. 898 (2017) 042027 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.042027

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2017-12-14
07:05
Real-time complex event processing for cloud resources / Adam, M (CERN ; ASCR, Prague) ; Cordeiro, C (CERN) ; Field, L (CERN) ; Giordano, D (CERN) ; Magnoni, L (CERN)
The ongoing integration of clouds into the WLCG raises the need for detailed health and performance monitoring of the virtual resources in order to prevent problems of degraded service and interruptions due to undetected failures. When working in scale, the existing monitoring diversity can lead to a metric overflow whereby the operators need to manually collect and correlate data from several monitoring tools and frameworks, resulting in tens of different metrics to be constantly interpreted and analyzed per virtual machine. [...]
2017 - 8 p. - Published in : J. Phys. : Conf. Ser. 898 (2017) 042020 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.042020

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2017-12-14
07:05
Verification of electromagnetic physics models for parallel computing architectures in the GeantV project / Amadio, G (Sao Paulo State U.) ; Apostolakis, J (CERN) ; Bandieramonte, M (CERN) ; Behera, S P (Bhabha Atomic Res. Ctr.) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) ; Cosmo, G (CERN) ; Duhem, L (Intel, Santa Clara) ; Elvira, D (Fermilab) et al.
An intensive R&D; and programming effort is required to accomplish new challenges posed by future experimental high-energy particle physics (HEP) programs. The GeantV project aims to narrow the gap between the performance of the existing HEP detector simulation software and the ideal performance achievable, exploiting latest advances in computing technology. [...]
2017 - 8 p. - Published in : J. Phys. : Conf. Ser. 898 (2017) 042019 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.042019

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2017-12-13
06:06
Federated data storage system prototype for LHC experiments and data intensive science / Kiryanov, A (St. Petersburg, INP ; Kurchatov Inst., Moscow) ; Klimentov, A (Kurchatov Inst., Moscow ; Brookhaven) ; Krasnopevtsev, D (Kurchatov Inst., Moscow ; Moscow Phys. Eng. Inst.) ; Ryabinkin, E (Kurchatov Inst., Moscow) ; Zarochentsev, A (Kurchatov Inst., Moscow ; St. Petersburg State U.)
Rapid increase of data volume from the experiments running at the Large Hadron Collider (LHC) prompted physics computing community to evaluate new data handling and processing solutions. Russian grid sites and universities’ clusters scattered over a large area aim at the task of uniting their resources for future productive work, at the same time giving an opportunity to support large physics collaborations. [...]
2017 - 8 p. - Published in : J. Phys. : Conf. Ser. 898 (2017) 062016 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.062016

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2017-12-13
06:06
An efficient, modular and simple tape archiving solution for LHC Run-3 / Murray, S (CERN) ; Bahyl, V (CERN) ; Cancio, G (CERN) ; Cano, E (CERN) ; Kotlyar, V (Serpukhov, IHEP) ; Kruse, D F (CERN) ; Leduc, J (CERN)
The IT Storage group at CERN develops the software responsible for archiving to tape the custodial copy of the physics data generated by the LHC experiments. Physics run 3 will start in 2021 and will introduce two major challenges for which the tape archive software must be evolved. [...]
2017 - 8 p. - Published in : J. Phys. : Conf. Ser. 898 (2017) 062013 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.062013

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2017-12-13
06:06
DPM evolution: a disk operations management engine for DPM / Manzi, A (CERN) ; Furano, F (CERN) ; Keeble, O (CERN) ; Bitzes, G (CERN)
The DPM (Disk Pool Manager) project is the most widely deployed solution for storage of large data repositories on Grid sites, and is completing the most important upgrade in its history, with the aim of bringing important new features, performance and easier long term maintainability. Work has been done to make the so-called “legacy stack” optional, and substitute it with an advanced implementation that is based on the fastCGI and RESTful technologies. [...]
2017 - 7 p. - Published in : J. Phys. : Conf. Ser. 898 (2017) 062011 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.062011

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