Template:Site description

From Grid5000
Revision as of 13:45, 23 July 2009 by Dmargery (talk | contribs)
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]]
  • [[{{{1}}}:Roadmap|Roadmap]]
  • [[{{{1}}}:Logs|Logs]]
  • [[{{{1}}}:Administration|Administration]]

Direct access to resources for {{{1}}}'s site:

Shortcuts to global tools and informations:

Latest updated publications Five random publications that benefited from Grid'5000 (at least 3047 overall):

  • Simon Lambert, Vladimir Ostapenco, Laurent Lefèvre, Eddy Caron, Anne-Cécile Orgerie, et al.. Revisiting virtual machine consolidation to save resources and energy in heterogeneous production cloud infrastructures. ICT4S 2025 - International Conference on Information and Communications Technology for Sustainability, Jun 2025, Dublin, Ireland. pp.1-1, 2025. hal-05100569 view on HAL pdf
  • Karina Pats, Igor Glukhov, Stepan Petrosian, Maria Mamaeva, Alexey Sergushichev, et al.. GEODES: Geometric Descriptors for the Assessment of Global and Local Flexibility of Proteins During Molecular Dynamics Simulation. IEEE Access, 2025, 13, pp.64259-64270. 10.1109/ACCESS.2025.3558781. hal-05063673 view on HAL pdf
  • Florian Rascoussier, Romain Billot, Lina Fahed, Christine Solnon. Impact of Scaling and Rounding on Metaheuristic Performance for the Vehicle Routing Problem with Time Windows. 16th Metaheuristics International Conference, 2026, Ischia, Italy. hal-05646952 view on HAL pdf
  • Édouard Guégain, Alexandre Bonvoisin, Mathieu Acher, Clément Quinton, Romain Rouvoy. Exploring Performance of Configurable Software Systems: the JHipster Case Study. EASE'25 - 29th International Conference on Evaluation and Assessment in Software Engineering, Jun 2025, Istanbul, Turkey. pp.1-10. hal-05003699v2 view on HAL pdf
  • Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni. A Multi-Objective Multi-Agent Interactive Deep Reinforcement Learning Approach for Feature Selection. International conference on neural information processing, Dec 2024, Auckland (Nouvelle Zelande), New Zealand. pp.15. hal-04723314 view on HAL pdf

Latest updated experiments {{#experiments: 5|{{{1}}}}}

{{{misc}}}