Template:Site description
Jump to navigation
Jump to search
Specific informations of {{{1}}}'s site:
- [[{{{1}}}:Hardware|Hardware]]
- [[{{{1}}}:Network|Network]]
- [[{{{1}}}:Storage|Storage]]
- [[{{{1}}}:External access|External access]]
- [[{{{1}}}:People|People]]
- Administration
Direct access to resources for {{{1}}}'s site:
- reservation state (monika) and reservation history (drawgantt) via OAR
- available resources via Ganglia
- critical services via Nagios
- opened bugs via BugZilla
- support-staff via mail
Shortcuts to global tools and informations:
- support procedures to report bugs or ask for enhancements
- global reservation state and global reservation history via OARgrid.
- registered users via UMS
Latest updated publications Five random publications that benefited from Grid'5000 (at least 3009 overall):
- Cherif Latreche, Nikos Parlavantzas, Hector A Duran-Limon. Do We Need Reinforcement Learning for Serverless Scheduling at the Edge? A Comparative Evaluation. 25th IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2026), Jul 2026, Hambourg, Germany. hal-05626844v2 view on HAL pdf
- Donatien Schmitz, Guillaume Rosinosky, Etienne Rivière. Justin: Hybrid CPU/Memory Elastic Scaling for Distributed Stream Processing ⋆. DAIS 2025 - 25th International Conference on Distributed Applications and Interoperable Systems, Daniel Balouek; Ibéria Medeiros, Jun 2025, Lille, France. pp.1-17. hal-05081993 view on HAL pdf
- Wèdan Emmanuel Gnibga. Modeling and optimization of Edge infrastructures and their electrical systems. Databases cs.DB. Université de Rennes, 2024. English. NNT : 2024URENS069. tel-04967447 view on HAL pdf
- Matthieu Simonin, Anne-Cécile Orgerie. Méthodologies de calculs de l'empreinte carbone sur une plateforme de calcul - L'exemple du site de Rennes de Grid'5000. JRES 2024 – Journée Réseaux de l'Enseignement Supérieur, Dec 2024, Rennes, France. pp.1-13. hal-04762718v2 view on HAL pdf
- Dorssaf Sellami, Wissem Inoubli, Imed Riadh Farah, Sabeur Aridhi. Knowledge graph representation learning: a comprehensive and experimental overview. Computer Science Review, 2024, 56. hal-04853146 view on HAL pdf
Latest updated experiments {{#experiments: 5|{{{1}}}}}
{{{misc}}}