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CERN Document Server Encontrados 2,027 registros  1 - 10siguientefinal  ir al registro: La búsqueda tardó 0.75 segundos. 
1.
(100)
Anomaly Detection for the Centralised Elasticsearch Service at CERN / Andersson, Jennifer R (Uppsala U. (main)) ; Moya, Jose Alonso (Carlos III U., Madrid) ; Schwickerath, Ulrich (CERN)
For several years CERN has been offering a centralised service for Elasticsearch, a popular distributed system for search and analytics of user provided data. The service offered by CERN IT is better described as a service of services, delivering centrally managed and maintained Elasticsearch instances to CERN users who have a justified need for it. [...]
2021 - 10 p. - Published in : Front. Big Data 4 (2021) 718879 Fulltext: PDF;
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2.
(91)
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
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3.
(86)
Development of machine-learning based app for anomaly detection in CMSWEB / Hussain, Nasir
This project that we have developed revolves around the idea of an advanced anomaly detection system for the CMSWEB services, which is a vital part of CERN’s infrastructure that houses more than two dozen web services like DBS, DAS, CRAB, and WMCore. [...]
CERN-STUDENTS-Note-2024-221. - 2024
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4.
(67)
End-to-end anomaly detection system in the CERN Openstack Cloud infrastructure / Metaj, Stiven
The CERN Openstack private Data Center offers Cloud resources, services and tools to a scientific community of about 3,000 CERN users [...]
CERN-THESIS-2022-049 - 134 p.

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5.
(65)
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
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6.
(63)
SCADA statistics monitoring using the Elastic Stack (Elasticsearch, Logstash, Kibana) / Hamilton, James (CERN) ; Gonzalez Berges, Manuel (CERN) ; Schofield, Brad (CERN) ; Tournier, Jean-Charles (CERN)
The Industrial Controls and Safety systems group at CERN, in collaboration with other groups, has developed and currently maintains around 200 controls applications that include domains such as LHC magnet protection, cryogenics and electrical network supervision systems. Millions of value changes and alarms from many devices are archived to a centralised Oracle database but it is not easy to obtain high-level statistics from such an archive. [...]
2018 - 5 p. - Published in : 10.18429/JACoW-ICALEPCS2017-TUPHA034 Fulltext: PDF;
In : International Conference on Accelerator and Large Experimental Physics Control Systems, Barcelona, Spain, 8 - 13 Oct 2017, pp.TUPHA034
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7.
(62)
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
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8.
(61)
Operational Intelligence / Paparrigopoulos, Panos (CERN) ; Di Girolamo, Alessandro (European Laboratory for Particle Physics, CERN) ; Legger, Federica (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen)
In the near future, large scientific collaborations will face unprecedented computing challenges. [...]
ATL-SOFT-PROC-2020-009. - 2020.
Original Communication (restricted to ATLAS) - Full text
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9.
(54)
Apache Spark usage and deployment models for scientific computing / Castro, Diogo (CERN) ; Kothuri, Prasanth (CERN) ; Mrowczynski, Piotr (CERN) ; Piparo, Danilo (CERN) ; Tejedor, Enric (CERN)
This talk is about sharing our recent experiences in providing data analytics platform based on Apache Spark for High Energy Physics, CERN accelerator logging system and infrastructure monitoring. The Hadoop Service has started to expand its user base for researchers who want to perform analysis with big data technologies. [...]
2019 - 10 p. - Published in : EPJ Web Conf. 214 (2019) 07020 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.07020
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10.
(53)
Deep Learning and Isolation Based Security for Intrusion Detection and Prevention in Grid Computing / Gomez Ramirez, Andres
The use of distributed computational resources for the solution of scientific problems, which require highly intensive data processing is a fundamental mechanism for modern scientific collaborations [...]
CERN-THESIS-2018-441 - 163 p.

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