An Energy-Efficient Reservation Framework for Large-Scale Distributed Systems

Over the past few years, the energy consumption of Information and Communication Technologies (ICT) has become a major issue. Nowadays, ICT accounts for 2% of the global CO2 emissions, an amount similar to that produced by the aviation industry. Large-scale distributed systems (e.g. Grids, Clouds and high-performance networks) are often heavy electricity consumers because -- for high-availability requirements -- their resources are always powered on even when they are not in use. Reservation-based systems guarantee quality of service, allow for respect of user constraints and enable fine-grained resource management. For these reasons, we propose an energy-efficient reservation framework to reduce the electric consumption of distributed systems and dedicated networks. The framework, called ERIDIS, is adapted to three different systems: data centers and grids, cloud environments and dedicated wired networks. By validating each derived infrastructure, we show that significant amounts of energy can be saved using ERIDIS in current and future large-scale distributed systems.

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Source https://theses.hal.science/tel-00672130
Author Orgerie, Anne-Cécile
Maintainer CCSD
Last Updated May 27, 2026, 19:40 (UTC)
Created May 27, 2026, 19:40 (UTC)
Identifier NNT: 2011ENSL0640
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de l'Informatique du Parallélisme (LIP) ; École normale supérieure de Lyon (ENS de Lyon) ; Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)
creator Orgerie, Anne-Cécile
date 2011-09-27T00:00:00
harvest_object_id 1104085e-1298-48b8-8e88-586e28edaa5d
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-30T00:00:00
set_spec type:THESE