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| Hauptseite > Publikationsdatenbank > Unlocking the compute continuum: Scaling out from cloud to HPC and HTC resources > print |
| Hauptseite > Publikationsdatenbank > Unlocking the compute continuum: Scaling out from cloud to HPC and HTC resources > print |
| 001 | 1052682 | ||
| 005 | 20260220104049.0 | ||
| 024 | 7 | _ | |a 10.1051/epjconf/202533701296 |2 doi |
| 024 | 7 | _ | |a 2100-014X |2 ISSN |
| 024 | 7 | _ | |a 2101-6275 |2 ISSN |
| 024 | 7 | _ | |a 10.34734/FZJ-2026-01050 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2026-01050 |
| 082 | _ | _ | |a 530 |
| 100 | 1 | _ | |a Ciangottini, Diego |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a Conference on Computing in High Energy and Nuclear Physics |g CHEP 2024 |c Kraków |d 2024-10-19 - 2024-10-25 |w Poland |
| 245 | _ | _ | |a Unlocking the compute continuum: Scaling out from cloud to HPC and HTC resources |
| 260 | _ | _ | |a Les Ulis |c 2025 |b EDP Sciences |
| 300 | _ | _ | |a 8 p. |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1769497240_24660 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
| 490 | 0 | _ | |a The European physical journal / Web of Conferences |
| 520 | _ | _ | |a In a geo-distributed computing infrastructure with heterogeneous resources (HPC and HTC and possibly cloud), a key to unlock an efficient and user-friendly access to the resources is being able to offload each specific task to the best suited location. One of the most critical problems involves the logistics of wide-area, multi-stage workflows that move back and forth between multiple resource providers. We envision a model where such a challenge can be addressed enabling a “transparent offloading” of containerized payloads using the Kubernetes API primitives creating a common cloud-native interface to access any number of external hardware machines and type of backends. Thus we created the interLink project, an open source extension to the concept of Virtual-Kubelet with a design that aims for a common abstraction over heterogeneous and distributed backends. interLink is developed by INFN in the context of interTwin, an EU funded project that aims to build a digital-twin platform (Digital Twin Engine) for sciences, and the ICSC National Research Center for High Performance Computing, Big Data and Quantum Computing in Italy. In this talk we first provide a comprehensive overview of the key features and the technical implementation. We showcase our major case studies, such as the scale-out of an analysis facility, and the distribution of ML training processes. We focus on the impacts of being able to seamlessly exploit world-class EuroHPC supercomputers with such a technology. |
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| 536 | _ | _ | |a interTwin - An interdisciplinary Digital Twin Engine for science (101058386) |0 G:(EU-Grant)101058386 |c 101058386 |f HORIZON-INFRA-2021-TECH-01 |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Spiga, Daniele |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Memon, Ahmed Shiraz |0 P:(DE-Juel1)132191 |b 2 |u fzj |
| 700 | 1 | _ | |a Manzi, Andrea |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Filipcic, Andrej |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Troja, Antonino |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Fanzago, Federica |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Bianchini, Giulio |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Sgaravatto, Massimo |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Prica, Teo |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a Boccali, Tommaso |0 P:(DE-HGF)0 |b 10 |
| 700 | 1 | _ | |a Tedeschi, Tommaso |0 P:(DE-HGF)0 |b 11 |
| 773 | _ | _ | |a 10.1051/epjconf/202533701296 |g Vol. 337, p. 01296 - |0 PERI:(DE-600)2595425-8 |p 01296 |v 337 |y 2025 |x 2100-014X |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1052682/files/epjconf_chep2025_01296.pdf |y OpenAccess |
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