Hauptseite > Publikationsdatenbank > Learning from the present for the future:The Jülich LOFAR Long-Term Archive > print

001     1020355
005     20240226075253.0
037 _ _ |a FZJ-2024-00088
100 1 _ |a Stiele, Holger
|0 P:(DE-Juel1)194141
|b 0
|e Corresponding author
|u fzj
111 2 _ |a PUNCH4NFDI Annual Meeting 2023
|c Munich
|d 2023-10-12 - 2023-10-13
|w Germany
245 _ _ |a Learning from the present for the future:The Jülich LOFAR Long-Term Archive
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
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336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Conference Presentation
|b conf
|m conf
|0 PUB:(DE-HGF)6
|s 1704443844_25361
|2 PUB:(DE-HGF)
|x After Call
520 _ _ |a Forschungszentrum Jülich has hosted the German part of the LOFAR long-term archive since 2013. Currently about 20 petabytes (PB) of data are stored with a growth rate of around 2 PB a year.Future radio telescopes are expected to have a much higher data rate and bring new challenges in processing and storing data.Here we briefly report on the current data management of the Jülich LOFAR Data Archive, including the ingestion, the storage system, the export to the long-term archive, and the request chain. We analysed the data access pattern over the last 10 years and give an estimation of the energy consumption of the process. Based on this analysis, we define requirements for future, even more extensive long-term data archives.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
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536 _ _ |a 5121 - Supercomputing & Big Data Facilities (POF4-512)
|0 G:(DE-HGF)POF4-5121
|c POF4-512
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|x 1
536 _ _ |a DFG project 460248186 - PUNCH4NFDI - Teilchen, Universum, Kerne und Hadronen für die NFDI (460248186)
|0 G:(GEPRIS)460248186
|c 460248186
|x 2
536 _ _ |a Big Bang to Big Data - B3D [NRW-Cluster für datenintensive Radioastronomie] (PROFILNRW-2020-038B)
|0 G:(DE-Juel-1)PROFILNRW-2020-038B
|c PROFILNRW-2020-038B
|x 3
700 1 _ |a Manzano, Cristina
|0 P:(DE-Juel1)132183
|b 1
|u fzj
700 1 _ |a Miskolczi, Arpad
|0 P:(DE-Juel1)185945
|b 2
|u fzj
700 1 _ |a Vybornov, Vadim
|0 P:(DE-Juel1)194303
|b 3
|u fzj
700 1 _ |a Pfalzner, Susanne
|0 P:(DE-Juel1)177668
|b 4
|u fzj
700 1 _ |a Fieseler, Thomas
|0 P:(DE-Juel1)132100
|b 5
|u fzj
856 4 _ |u https://indico.desy.de/event/38458/
909 C O |o oai:juser.fz-juelich.de:1020355
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
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|v Enabling Computational- & Data-Intensive Science and Engineering
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913 1 _ |a DE-HGF
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|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
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|v Supercomputing & Big Data Infrastructures
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914 1 _ |y 2023
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a conf
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED

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