Title :

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

Author(s) :

Bonvoisin, Alexandre [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Quinton, Clément [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Rouvoy, Romain [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]

Scientific editor(s) :

Ipek Ozkaya
Fabio Palomba

Conference title :

SANER'24 - 31th IEEE International Conference on Software Analysis, Evolution and Reengineering

City :

Rovaniemi

Country :

Finlande

Start date of the conference :

2024-03-12

Publisher :

IEEE

English keyword(s) :

ORM Frameworks
Energy consumption
Performance

HAL domain(s) :

Informatique [cs]

English abstract : [en]

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 ...
Show more >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 configured and used inappropriately. This paper, therefore, compares different configurations of state-of-the-art Java-based ORM frameworks to unveil their performance efficiency, traditionally evaluated through metrics such as execution time and memory usage. However, rising environmental concerns have brought energy consumption to the forefront of the conversation. Beyond performance-centric measurements, we shed light on the energy consumption of these building blocks and explore the trade-offs that conceal the expected quality of service and environmental concerns. Our empirical results, obtained with an ORM-based version of the reference Transaction Processing Performance Council benchmark C (TPC-C) benchmark, highlight that the adoption of an ORM should be carefully configured by developers to leverage the resources offered by underlying databases.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

ANR Project :

Service de recommandation pour des logiciels en ligne plus durables
Configurations d'environnements fog large-échelle
Comprendre, Améliorer, Réduire les impacts Environnementaux du Cloud computing

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL