High throughput data removal system for the ALICE experiment in Run 3.
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| Title: | High throughput data removal system for the ALICE experiment in Run 3. |
|---|---|
| Authors: | Şuiu, Alice-Florenţa1,2 (AUTHOR) asuiu@cern.ch, Grigoraş, Costin2 (AUTHOR), Țăpuș, Nicolae1 (AUTHOR), Betev, Latchezar2 (AUTHOR) |
| Source: | European Physical Journal C -- Particles & Fields. May2026, Vol. 86 Issue 5, p1-15. 15p. |
| Subjects: | Data removal (Computer science), Data management, Quark-gluon plasma, Data acquisition systems, Large Hadron Collider, European Organization for Nuclear Research, Big data |
| Abstract: | The ALICE (A Large Ion Collider Experiment) experiment at CERN's Large Hadron Collider is dedicated to studying heavy-ion collisions to investigate the properties of quark–gluon plasma. Since its launch in 2009, ALICE has undergone three operational phases, accumulating substantial data: 7.4 petabytes (PB) in Run 1, 28 PB in Run 2, and 423 PB in Run 3 (as of February 2025). The transition from Run 2 to Run 3 included significant upgrades to ALICE's detectors and Data Acquisition System, resulting in a 12-fold increase in the collected data volume. This article presents a data removal tool developed for the ALICE experiment to efficiently manage storage resources. The tool consists of a web interface that allows ALICE operators to delete data and an automated workflow that, under certain conditions, removes temporary data and provides the data preparation group with a centralized interface for data management. Deployed in April 2024, the tool replaces the previous manual, email-based request system, eliminating inefficiencies and ensuring a faster, more structured, and scalable approach to data management. [ABSTRACT FROM AUTHOR] |
| Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 194633896 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: High throughput data removal system for the ALICE experiment in Run 3. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Şuiu%2C+Alice-Florenţa%22">Şuiu, Alice-Florenţa</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> asuiu@cern.ch</i><br /><searchLink fieldCode="AR" term="%22Grigoraş%2C+Costin%22">Grigoraş, Costin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Țăpuș%2C+Nicolae%22">Țăpuș, Nicolae</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Betev%2C+Latchezar%22">Betev, Latchezar</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Physical+Journal+C+--+Particles+%26+Fields%22">European Physical Journal C -- Particles & Fields</searchLink>. May2026, Vol. 86 Issue 5, p1-15. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+removal+%28Computer+science%29%22">Data removal (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+management%22">Data management</searchLink><br /><searchLink fieldCode="DE" term="%22Quark-gluon+plasma%22">Quark-gluon plasma</searchLink><br /><searchLink fieldCode="DE" term="%22Data+acquisition+systems%22">Data acquisition systems</searchLink><br /><searchLink fieldCode="DE" term="%22Large+Hadron+Collider%22">Large Hadron Collider</searchLink><br /><searchLink fieldCode="DE" term="%22European+Organization+for+Nuclear+Research%22">European Organization for Nuclear Research</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The ALICE (A Large Ion Collider Experiment) experiment at CERN's Large Hadron Collider is dedicated to studying heavy-ion collisions to investigate the properties of quark–gluon plasma. Since its launch in 2009, ALICE has undergone three operational phases, accumulating substantial data: 7.4 petabytes (PB) in Run 1, 28 PB in Run 2, and 423 PB in Run 3 (as of February 2025). The transition from Run 2 to Run 3 included significant upgrades to ALICE's detectors and Data Acquisition System, resulting in a 12-fold increase in the collected data volume. This article presents a data removal tool developed for the ALICE experiment to efficiently manage storage resources. The tool consists of a web interface that allows ALICE operators to delete data and an automated workflow that, under certain conditions, removes temporary data and provides the data preparation group with a centralized interface for data management. Deployed in April 2024, the tool replaces the previous manual, email-based request system, eliminating inefficiencies and ensuring a faster, more structured, and scalable approach to data management. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1140/epjc/s10052-026-15721-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Subjects: – SubjectFull: Data removal (Computer science) Type: general – SubjectFull: Data management Type: general – SubjectFull: Quark-gluon plasma Type: general – SubjectFull: Data acquisition systems Type: general – SubjectFull: Large Hadron Collider Type: general – SubjectFull: European Organization for Nuclear Research Type: general – SubjectFull: Big data Type: general Titles: – TitleFull: High throughput data removal system for the ALICE experiment in Run 3. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Şuiu, Alice-Florenţa – PersonEntity: Name: NameFull: Grigoraş, Costin – PersonEntity: Name: NameFull: Țăpuș, Nicolae – PersonEntity: Name: NameFull: Betev, Latchezar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14346044 Numbering: – Type: volume Value: 86 – Type: issue Value: 5 Titles: – TitleFull: European Physical Journal C -- Particles & Fields Type: main |
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