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ABOUT IT NOTES
The IT notes collection is intended for IT documents which have not been sent for publication, and are therefore of a more internal nature. They can record any aspect of IT infrastructure or services and need not be peer reviewed, but should be of some lasting value as a reference for other members of the depeartment or the wider CERN community.
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IT Notes

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2019-03-20
16:15
Data Taking for the Heavy-Ion Run 2018 / Contescu, Cristian (CERN) ; Lo Presti, Giuseppe (CERN) ; Rousseau, Herve (CERN)
The Heavy-Ion Run 2018 was the last part of the LHC Run 2 programme. [...]
CERN-IT-Note-2019-006. - 2018. - 12 p.
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2019-03-07
16:34
CERN Campus Network upgrade / Kishimoto Bisbe, Carles (CERN) ; Cass, Tony (CERN)
The Campus Network has evolved organically since the last major upgrade in 2006 and a review was organised in 2018 to prepare for a long-overdue refresh to ensure the network can continue to meet evolving demands in the coming decade. [...]
CERN-IT-Note-2019-005. - 2019. - 8 p.
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2019-03-06
14:54
CERN Technical Network upgrade / Kishimoto Bisbe, Carles (CERN) ; Cass, Tony (CERN)
The routers currently used in the Technical Network reached to an end, so the LS2 was the right time to call for a network upgrade [...]
CERN-IT-Note-2019-004. - 2019. - 5 p.
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2019-02-21
15:14
CERN External Network evolution for LHC Run3 and Run4 / Martelli, Edoardo (CERN) ; Cass, Tony (CERN)
As from 2019, the LHC accelerator and its four major Experiments will undergo major upgrades that will dramatically increase the amount of data produced, data that not only has to be collected and stored at CERN, but also has to be sent to collaborating institutes. [...]
CERN-IT-Note-2019-003. - 2019. - 13 p.
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2019-01-17
11:10
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.

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2019-01-08
09:41
Sharing server nodes for storage and compute / Smith, David (CERN) ; Di Girolamo, Alessandro (CERN) ; Glushkov, Ivan (University of Texas at Arlington (US)) ; Jones, Ben (CERN) ; Kiryanov, Andrey (Petersburg Nuclear Physics Institute (RU)) ; Lamanna, Massimo (CERN) ; Mascetti, Luca (CERN) ; McCance, Gavin (CERN) ; Rousseau, Herve (CERN) ; Schovancova, Jaroslava (CERN) et al.
Based on the observation of low average CPU utilisation of several hundred file storage servers in the EOS storage system at CERN, the Batch on EOS Extra Resources (BEER) project developed an approach to also utilise these resources for batch processing. [...]
CERN-IT-Note-2019-001. - 2018. - 8 p.
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2018-09-21
11:29
Honeypot Resurrection - Redesign of CERN’s Security Honeypots / Buschendorf, Fabiola
This summer student’s project is about implementing an updated and improved honeypot solution as part of CERN’s computer network protection. [...]
CERN-STUDENTS-Note-2018-151. - 2018.
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2018-09-05
14:57
Contribution to the new DBOD Web application / Legouix, Baptiste
The multiplication of activities at CERN, the strong trend towards clouding of research and development tools and the decentralisation of computing units have pushed CERN’s dedicated department - the IT-DB department which welcomed me as a Summer Student - to set up a unified web interface allowing database users to carry out ordinary tasks without systematically having to go through the administrator staff. [...]
CERN-STUDENTS-Note-2018-104. - 2018.
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2018-08-30
11:20
Designing and Implementing a Migration Strategy to Move Archived Data from Graphite to InfluxDB / Kapoor, Abhishek
The EOS operations team has been using Graphite for many years in order to monitor and manage large-scale storage systems which are getting data from different CERN experiments, be it LHC experiments such as ATLAS, CMS, ALICE, etc. [...]
CERN-STUDENTS-Note-2018-084. - 2018.
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2018-08-24
13:28
Quantitative Analysis of data Caching for the HL-LHC DataLake / Akira, Lucrece Laura
My work was to measure the throughput and performance characteristics of critical real workloads of LHC experiments with different data proximity,bandwidth and the impact of a cache.After gathering information an analysis of these measurements will help to understand the impact of different scenarios and give insight on how such a system could be optimized..
CERN-STUDENTS-Note-2018-069. - 2018.

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