Energy consumption models and predictions for large-scale systems
type: Dataset
description: International audience
issued: 2026-05-14T09:18:31.889057
language: en
modified: 2026-05-14T09:18:31.889063
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: data-analysis
keyword: energy-consumption-model
keyword: grid5000
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-oscomputer-science-csoperating-systems-csos
keyword: prediction
landing page: The Ninth Workshop on High-Performance, Power-Aware Computing

Energy consumption models and predictions for large-scale systems
type: Distribution
format: HTML
issued: 2026-05-14T09:18:31.911567
modified: 2026-05-14T09:18:31.873983
access URL: https://inria.hal.science/hal-00790349

test_moissonnage_selune
type: Agent