CERN Accelerating science

CERN Document Server 84 ჩანაწერია ნაპოვნი  1 - 10შემდეგიდასასრული  ჩანაწერთან გადასვლა: ძიებას დასჭირდა 2.01 წამი. 
1.
Architecting the OpenSearch service at CERN / Papadopoulos, Sokratis (CERN) ; Saiz, Pablo (CERN) ; Schwickerath, Ulrich (CERN) ; Kleszcz, Emil (CERN)
The centralised Elasticsearch service has been running at CERN since 2016, providing the search and analytics engine for numerous CERN users. The service has been based on the open-source version of Elasticsearch, surrounded by a set of external open-source plugins offering security, multitenancy, extra visualization types, and more. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 07006 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.07006
2.
CERN Open Data / Saiz, Pablo (speaker) (CERN)
The goal of CERN Open Data is to make experiment data available to the general public in a way that can be easily used and to preserved for the long-term. This comes with a set of challenges: * The most important is to make sure that the data follows the FAIR principles: it should be Findable, Accessible, Interoperable, and Reusable. * That also includes the the long preservation of the data, and ensuring that it is immutable. * On top of that, the volume of data can also be challenging. [...]
2024 - 849. HEP Computing; CS3 2024 - Cloud Storage Synchronization and Sharing External links: Talk details; Event details In : CS3 2024 - Cloud Storage Synchronization and Sharing
3.
Large Elasticsearch cluster management / Saiz, Pablo ; Schwickerath, Ulrich
The Centralised Elasticsearch Service at CERN runs the infrastructure to provide Elasticsearch clusters for more than 100 different use cases.This contribution presents how the infrastructure is managed, covering the resource distribution, instance creation, cluster monitoring and user support. The contribution will present the components that have been identified as critical in order to share resources and minimise the amount of clusters and machines needed to run the service. [...]
2020 - 7 p. - Published in : EPJ Web Conf. 245 (2020) 07021 Fulltext: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07021
4.
Achieving metric oriented load balancing / Canilho, Paulo (CERN) ; Reguero, Ignacio (CERN) ; Saiz, Pablo (CERN)
The Load Balance Service at CERN handles more than 500 aliases, distributed over more than 2000 nodes. After being in production for more than fifteen years, it has been going through a major redesign over the last two years. [...]
2020 - 6 p. - Published in : EPJ Web Conf. 245 (2020) 07004 Fulltext: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07004
5.
Securing and sharing Elasticsearch resources with Read-onlyREST / Schwickerath, Ulrich (CERN) ; Saiz, Pablo (CERN) ; Toteva, Zhechka (CERN)
In early 2016 CERN IT created a new project to consolidate and centralise Elasticsearch instances across the site, with the aim to offer a production quality new IT services to experiments and departments. We present the solutions we adapted for securing the system using open source only tools, which allows us to consolidate up to 20 different use cases on a single Elasticsearch cluster..
2019 - 7 p. - Published in : EPJ Web Conf. 214 (2019) 08032 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.08032
6.
Concurrent adaptive load balancing at CERN / Canilho, Paulo (CERN) ; Reguero, Ignacio (CERN) ; Saiz, Pablo (CERN)
CERN is using an increasing number of DNS based load balanced aliases (currently over 700). This article explains the Go based concurrent implementation of the Load Balancing Service, both the client (lbclient) and the server (lbd). [...]
2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 08028 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.08028
7.
ATLAS job monitoring in the Dashboard Framework / Sargsyan, L. (NAS Armenia, Yerevan) ; Andreeva, J. (CERN) ; Campana, S. (CERN) ; Karavakis, E. (CERN) ; Kokoszkiewicz, L. (CERN) ; Saiz, P. (CERN) ; Schovancova, J. (Prague, Inst. Phys.) ; Tuckett, D. (CERN) /ATLAS Collaboration
Monitoring of the large-scale data processing of the ATLAS experiment includes monitoring of production and user analysis jobs. The Experiment Dashboard provides a common job monitoring solution, which is shared by ATLAS and CMS experiments. [...]
arXiv:1905.12949.- 2012 - 8 p.

Fulltext: jpconf12_396_032094 - PDF; 1905.12949 - PDF;
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032094
8.
Centralising Elasticsearch / Schwickerath, Ulrich (CERN) ; Saiz, Pablo (CERN) ; Toteva, Zhechka (CERN)
During the past years, the interest in Elasticsearch at CERN has been increasing constantly. [...]
CERN-IT-Note-2019-002.
- 2018.
9.
Unified Monitoring Architecture for IT and grid services / Aimar, A (CERN) ; Aguado Corman, A (CERN) ; Andrade, P (CERN) ; Belov, S (Dubna, JINR) ; Delgado Fernandez, J (CERN) ; Garrido Bear, B (CERN) ; Georgiou, M (CERN) ; Karavakis, E (CERN) ; Magnoni, L (CERN) ; Rama Ballesteros, R (CERN) et al.
This paper provides a detailed overview of the Unified Monitoring Architecture (UMA) that aims at merging the monitoring of the CERN IT data centres and the WLCG monitoring using common and widely-adopted open source technologies such as Flume, Elasticsearch, Hadoop, Spark, Kibana, Grafana and Zeppelin. It provides insights and details on the lessons learned, explaining the work performed in order to monitor the CERN IT data centres and the WLCG computing activities such as the job processing, data access and transfers, and the status of sites and services..
2017 - 7 p. - Published in : J. Phys.: Conf. Ser. 898 (2017) 092033 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.092033
10.
Performance study of a large $1 \times 1$ m$^{2}$ MRPC with $1 \times 1$ cm$^{2}$ readout pads / Carnesecchi, F (Enrico Fermi Ctr., Rome ; INFN, Bologna ; U. Bologna, DIFA) ; Combaret, C. (Lyon, IPN) ; Laktineh, I. (Lyon, IPN) ; Liu, Z. (Gangneung-Wonju Natl. U. ; World Lab., Geneva) ; Kim, D.W. (Gangneung-Wonju Natl. U. ; World Lab., Geneva) ; Mirabito, L. (Lyon, IPN) ; Rodriguez, O.M. (Pinar del Rio U. ; World Lab., Geneva) ; Park, W. (Gangneung-Wonju Natl. U. ; World Lab., Geneva) ; Vallecorsa, S. (Gangneung-Wonju Natl. U.) ; Williams, M.C.S. (U. Bologna, DIFA ; INFN, Bologna ; CERN) et al.
A Semi-Digital Hadronic Calorimeter (SDHCAL) concept has been proposed for future leptonic collider experiments. The multigap resistive plate chamber (MRPC) is a candidate for the detector planes of this calorimeter. [...]
2017 - 5 p.
Fulltext: PDF;

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105 Saiz, Pablo
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