Understanding the Performance-Energy Tradeoffs of Object-Relational Mapping Frameworks

International audience Object-Relational Mapping (ORM) frameworks are the cornerstone of online services. To reply to incoming requests, these services often rely on these frameworks as a convenient data access layer. However, such frameworks might also be the source of performance inefficiency when...

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Bibliographic Details
Main Authors: Bonvoisin, Alexandre, Quinton, Clément, Rouvoy, Romain
Other Authors: Self-adaptation for distributed services and large software systems (SPIRALS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Ipek Ozkaya, Fabio Palomba, ANR-21-CE25-0022,DISTILLER,Service de recommandation pour des logiciels en ligne plus durables(2021), ANR-19-CE25-0003,Koala,Configurations d'environnements fog large-échelle(2019), ANR-23-PECL-0003,CARECloud,Comprendre, Améliorer, Réduire les impacts Environnementaux du Cloud computing(2023)
Format: Conference Object
Language:English
Published: HAL CCSD 2024
Subjects:
Online Access:https://inria.hal.science/hal-04401643
https://inria.hal.science/hal-04401643/document
https://inria.hal.science/hal-04401643/file/SANER_24-2.pdf