View in EDS

Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management

Saved in:
Bibliographic Details
Title: Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management
Authors: Ostapenco, Vladimir, Lefèvre, Laurent, Orgerie, Anne-Cécile, Fichel, Benjamin
Contributors: Algorithms and Software Architectures for Distributed and HPC Platforms (AVALON), 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)-École normale supérieure de Lyon (ENS de Lyon), Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Lyon, Institut National de Recherche en Informatique et en Automatique (Inria), Design and Implementation of Autonomous Distributed Systems (MYRIADS), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SYSTÈMES LARGE ÉCHELLE (IRISA-D1), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), Centre National de la Recherche Scientifique (CNRS), OVHcloud Roubaix, This research was partially supported by the Inria+OVHCloud FrugalCloud challenge., Grid'5000, GRID'5000
Source: ISSN: 1094-3420 ; International Journal of High Performance Computing Applications ; https://hal.science/hal-04047008 ; International Journal of High Performance Computing Applications, 2023, 37 (3-4), ⟨10.1177/10943420231172978⟩.
Publisher Information: HAL CCSD
SAGE Publications
Publication Year: 2023
Collection: Université de Rennes 1: Publications scientifiques (HAL)
Subject Terms: environmental impacts, data center management, [INFO]Computer Science [cs], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
Description: International audience ; Data centers are very energy-intensive facilities that can generate various environmental impacts. Numerous energy, power, and environmental leverages exist and can help cloud providers and data center managers to reduce some of these impacts. But dealing with such heterogeneous leverages can be a challenging task that requires some support from a dedicated framework. This article presents a new approach for modeling, evaluating, and orchestrating a large set of technological and logistical leverages. Our framework is based on leverages modeling and Gantt chart leverages mapping. First experimental results based on selected scenarios show the pertinence of the proposed approach in terms of management facilities and potential impacts reduction.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1177/10943420231172978
Availability: https://hal.science/hal-04047008
https://hal.science/hal-04047008v1/document
https://hal.science/hal-04047008v1/file/Modeling_evaluating_and_orchestrating_heterogeneous_environmental_leverages_for_large_scale_data_centers_management.pdf
https://doi.org/10.1177/10943420231172978
Rights: http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.FD1DA30C
Database: BASE
Description
Abstract:International audience ; Data centers are very energy-intensive facilities that can generate various environmental impacts. Numerous energy, power, and environmental leverages exist and can help cloud providers and data center managers to reduce some of these impacts. But dealing with such heterogeneous leverages can be a challenging task that requires some support from a dedicated framework. This article presents a new approach for modeling, evaluating, and orchestrating a large set of technological and logistical leverages. Our framework is based on leverages modeling and Gantt chart leverages mapping. First experimental results based on selected scenarios show the pertinence of the proposed approach in terms of management facilities and potential impacts reduction.
DOI:10.1177/10943420231172978