All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

AMBER experiment's online filter system for virtualised IT infrastructure

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/68407700:21340/25:00379523

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    AMBER experiment's online filter system for virtualised IT infrastructure

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Transactions on Nuclear Science

  • ISSN

    0018-9499

  • e-ISSN

    1558-1578

  • Volume of the periodical

    2025

  • Issue of the periodical within the volume

    72

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    510-517

  • UT code for WoS article

    001447525200021

  • EID of the result in the Scopus database

    2-s2.0-105001069472