AMBER experiment's online filter system for virtualised IT infrastructure

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10490458" target="_blank" >RIV/00216208:11320/25:10490458 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21340/25:00379523

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=SN.XMsoUgn" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=SN.XMsoUgn</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TNS.2024.3442305" target="_blank" >10.1109/TNS.2024.3442305</a>

Jazyk výsledku

angličtina

Název v původním jazyce

AMBER experiment's online filter system for virtualised IT infrastructure

Popis výsledku v původním jazyce

The operation of high-level trigger systems in high-energy physics experiments requires the utilisation of substantial computing resources. Typically, these systems are constructed as computing farms with cutting-edge expensive hardware to provide sufficient computing power. Usually the systems are situated on-site and process detector data in real-time to minimize latency. This paper presents an alternative high-level filter system designed for the AMBER experiment at CERN. The novel aspect of our approach is its high efficiency, which removes the necessity for a dedicated on-site computer farm. Instead, it make use of existing shared resources located within the CERN data center. The proposed system is capable of efficiently handling the data generated by the medium-sized experiment and performing numerous parallel filtering tasks in real time. All system components operate within a shared, fully virtualized environment, including databases, storage, and processing units. This flexible environment scales effectively, allowing for adjustments to allocated resources in accordance with agreements with service managers. We present the architectural design and the implementation of such a system. To demonstrate its capabilities, we have conducted a series of various measurements assessing its performance, latencies, and stability under maximum (expected) loads. The results demonstrate the resilience and reliability of the filtering system while optimizing overall costs to a minimum.

Název v anglickém jazyce

AMBER experiment's online filter system for virtualised IT infrastructure

Popis výsledku anglicky

The operation of high-level trigger systems in high-energy physics experiments requires the utilisation of substantial computing resources. Typically, these systems are constructed as computing farms with cutting-edge expensive hardware to provide sufficient computing power. Usually the systems are situated on-site and process detector data in real-time to minimize latency. This paper presents an alternative high-level filter system designed for the AMBER experiment at CERN. The novel aspect of our approach is its high efficiency, which removes the necessity for a dedicated on-site computer farm. Instead, it make use of existing shared resources located within the CERN data center. The proposed system is capable of efficiently handling the data generated by the medium-sized experiment and performing numerous parallel filtering tasks in real time. All system components operate within a shared, fully virtualized environment, including databases, storage, and processing units. This flexible environment scales effectively, allowing for adjustments to allocated resources in accordance with agreements with service managers. We present the architectural design and the implementation of such a system. To demonstrate its capabilities, we have conducted a series of various measurements assessing its performance, latencies, and stability under maximum (expected) loads. The results demonstrate the resilience and reliability of the filtering system while optimizing overall costs to a minimum.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Nuclear Science

ISSN

0018-9499

e-ISSN

1558-1578

Svazek periodika

2025

Číslo periodika v rámci svazku

72

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

510-517

Kód UT WoS článku

001447525200021

EID výsledku v databázi Scopus

2-s2.0-105001069472