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Mastering Opportunistic Computing Resources for HEP

Schnepf, M. J. 1; Heidecker, C. 1; Fischer, M. ORCID iD icon 1; Giffels, M. ORCID iD icon 1; Kuehn, E. ORCID iD icon 1; Heiss, A. 1; Petzold, A. 1; Quast, G. ORCID iD icon 1
1 Karlsruher Institut für Technologie (KIT)

Abstract:

As results of the excellent LHC performance in 2016, more data than expected has been recorded leading to a higher demand for computing resources. It is already foreseeable that for the current and upcoming run periods a flat computing budget and the expected technology advance will not be sufficient to meet the future requirements. This results in a growing gap between supplied and demanded resources.
One option to reduce the emerging lack of computing resources is the utilization of opportunistic resources such as local university clusters, public and commercial cloud providers, HPC centers and volunteer computing. However, to use opportunistic resources additional challenges have to be tackled. At the Karlsruhe Institute of Technology (KIT) an infrastructure to dynamically use opportunistic resources is built up. In this paper tools, experiences, future plans and possible improvements are discussed.


Verlagsausgabe §
DOI: 10.5445/IR/1000087758
Originalveröffentlichung
DOI: 10.1088/1742-6596/1085/3/032056
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Experimentelle Teilchenphysik (ETP)
Scientific Computing Center (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 1742-6588, 1742-6596
urn:nbn:de:swb:90-877582
KITopen-ID: 1000087758
HGF-Programm 53.52.02 (POF III, LK 02) GridKa
Weitere HGF-Programme 51.01.01 (POF III, LK 01) Teilchenphysik
Erschienen in Journal of physics / Conference Series
Verlag Institute of Physics Publishing Ltd (IOP Publishing Ltd)
Band 1085
Heft 3
Seiten Art. Nr.: 032056
Bemerkung zur Veröffentlichung 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2017; University of WashingtonSeattle; United States; 21 August 2017 through 25 August 2017
Nachgewiesen in Scopus
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