Loading…

Mastering Opportunistic Computing Resources for HEP

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 sufficien...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2018-09, Vol.1085 (3), p.32056
Main Authors: Schnepf, M J, Heidecker, C, Fischer, M, Giffels, M, Kuehn, E, Heiss, A, Petzold, A, Quast, G
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1085/3/032056