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
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Language: | English |
Published: |
HAL CCSD
2024
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Subjects: |
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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
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