The More the Merrier? Navigating Accuracy vs. Energy Efficiency Design Trade-Offs in Ensemble Learning Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Omar, Rafiullah, Bogner, Justus, Muccini, Henry, Lago, Patricia, Martínez-Fernández, Silverio, Franch, Xavier |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection
by: Omar, Rafiullah, et al.
Published: (2024)
by: Omar, Rafiullah, et al.
Published: (2024)
Analyzing the Evolution and Maintenance of ML Models on Hugging Face
by: Castaño, Joel, et al.
Published: (2023)
by: Castaño, Joel, et al.
Published: (2023)
Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems
by: Kumar, Apoorva Nalini Pradeep, et al.
Published: (2024)
by: Kumar, Apoorva Nalini Pradeep, et al.
Published: (2024)
On the Effectiveness of Microservices Tactics and Patterns to Reduce Energy Consumption: An Experimental Study on Trade-Offs
by: Xiao, Xingwen, et al.
Published: (2025)
by: Xiao, Xingwen, et al.
Published: (2025)
A Synthesis of Green Architectural Tactics for ML-Enabled Systems
by: Järvenpää, Heli, et al.
Published: (2023)
by: Järvenpää, Heli, et al.
Published: (2023)
Energy Consumption of Automated Program Repair
by: Martinez, Matias, et al.
Published: (2022)
by: Martinez, Matias, et al.
Published: (2022)
SEMODS: A Validated Dataset of Open-Source Software Engineering Models
by: González, Alexandra, et al.
Published: (2026)
by: González, Alexandra, et al.
Published: (2026)
Lessons Learned from Mining the Hugging Face Repository
by: Castaño, Joel, et al.
Published: (2024)
by: Castaño, Joel, et al.
Published: (2024)
An Analysis of MLOps Architectures: A Systematic Mapping Study
by: Najafabadi, Faezeh Amou, et al.
Published: (2024)
by: Najafabadi, Faezeh Amou, et al.
Published: (2024)
A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System
by: Grote, Marcel, et al.
Published: (2023)
by: Grote, Marcel, et al.
Published: (2023)
Innovating for Tomorrow: The Convergence of SE and Green AI
by: Cruz, Luís, et al.
Published: (2024)
by: Cruz, Luís, et al.
Published: (2024)
A Tool for Automatically Cataloguing and Selecting Pre-Trained Models and Datasets for Software Engineering
by: González, Alexandra, et al.
Published: (2026)
by: González, Alexandra, et al.
Published: (2026)
Making Sense of AI Agents Hype: Adoption, Architectures, and Takeaways from Practitioners
by: Su, Ruoyu, et al.
Published: (2026)
by: Su, Ruoyu, et al.
Published: (2026)
Cataloguing Hugging Face Models to Software Engineering Activities: Automation and Findings
by: González, Alexandra, et al.
Published: (2025)
by: González, Alexandra, et al.
Published: (2025)
On the Effectiveness of Proposed Techniques to Reduce Energy Consumption in RAG Systems: A Controlled Experiment
by: Guo, Zhinuan, et al.
Published: (2026)
by: Guo, Zhinuan, et al.
Published: (2026)
Towards a Classification of Open-Source ML Models and Datasets for Software Engineering
by: González, Alexandra, et al.
Published: (2024)
by: González, Alexandra, et al.
Published: (2024)
Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge
by: del Rey, Santiago, et al.
Published: (2025)
by: del Rey, Santiago, et al.
Published: (2025)
Impact of ML Optimization Tactics on Greener Pre-Trained ML Models
by: Álvarez, Alexandra González, et al.
Published: (2024)
by: Álvarez, Alexandra González, et al.
Published: (2024)
DATCloud: A Model-Driven Framework for Multi-Layered Data-Intensive Architectures
by: Abughazala, Moamin, et al.
Published: (2025)
by: Abughazala, Moamin, et al.
Published: (2025)
Notes On Writing Effective Empirical Software Engineering Papers: An Opinionated Primer
by: Verdecchia, Roberto, et al.
Published: (2025)
by: Verdecchia, Roberto, et al.
Published: (2025)
The Human Need for Storytelling: Reflections on Qualitative Software Engineering Research With a Focus Group of Experts
by: Verdecchia, Roberto, et al.
Published: (2025)
by: Verdecchia, Roberto, et al.
Published: (2025)
To Type or Not to Type? A Systematic Comparison of the Software Quality of JavaScript and TypeScript Applications on GitHub
by: Bogner, Justus, et al.
Published: (2022)
by: Bogner, Justus, et al.
Published: (2022)
ACM SIGSOFT SEN Empirical Software Engineering: Introducing Our New Regular Column
by: Bogner, Justus, et al.
Published: (2025)
by: Bogner, Justus, et al.
Published: (2025)
Do RESTful API Design Rules Have an Impact on the Understandability of Web APIs? A Web-Based Experiment with API Descriptions
by: Bogner, Justus, et al.
Published: (2023)
by: Bogner, Justus, et al.
Published: (2023)
A Methodological Framework for LLM-Based Mining of Software Repositories
by: De Martino, Vincenzo, et al.
Published: (2025)
by: De Martino, Vincenzo, et al.
Published: (2025)
A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering
by: de Martino, Vincenzo, et al.
Published: (2024)
by: de Martino, Vincenzo, et al.
Published: (2024)
Green LLM Techniques in Action: How Effective Are Existing Techniques for Improving the Energy Efficiency of LLM-Based Applications in Industry?
by: Kuran, Pelin Rabia, et al.
Published: (2026)
by: Kuran, Pelin Rabia, et al.
Published: (2026)
How Does Microservice Granularity Impact Energy Consumption and Performance? A Controlled Experiment
by: Zhao, Yiming, et al.
Published: (2025)
by: Zhao, Yiming, et al.
Published: (2025)
Guiding the retraining of convolutional neural networks against adversarial inputs
by: López, Francisco Durán, et al.
Published: (2022)
by: López, Francisco Durán, et al.
Published: (2022)
Identifying architectural design decisions for achieving green ML serving
by: Durán, Francisco, et al.
Published: (2024)
by: Durán, Francisco, et al.
Published: (2024)
Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
by: Heiland, Lukas, et al.
Published: (2023)
by: Heiland, Lukas, et al.
Published: (2023)
Beyond Self-Promotion: How Software Engineering Research Is Discussed on LinkedIn
by: Wyrich, Marvin, et al.
Published: (2024)
by: Wyrich, Marvin, et al.
Published: (2024)
40 Years of Designing Code Comprehension Experiments: A Systematic Mapping Study
by: Wyrich, Marvin, et al.
Published: (2022)
by: Wyrich, Marvin, et al.
Published: (2022)
What's in a Benchmark? The Case of SWE-Bench in Automated Program Repair
by: Martinez, Matias, et al.
Published: (2026)
by: Martinez, Matias, et al.
Published: (2026)
Insights into resource utilization of code small language models serving with runtime engines and execution providers
by: Durán, Francisco, et al.
Published: (2024)
by: Durán, Francisco, et al.
Published: (2024)
A Reference Architecture for Gamified Cultural Heritage Applications Leveraging Generative AI and Augmented Reality
by: Martusciello, Federico, et al.
Published: (2025)
by: Martusciello, Federico, et al.
Published: (2025)
Estimating Deep Learning energy consumption based on model architecture and training environment
by: del Rey, Santiago, et al.
Published: (2023)
by: del Rey, Santiago, et al.
Published: (2023)
How Do Microservice API Patterns Impact Understandability? A Controlled Experiment
by: Bogner, Justus, et al.
Published: (2024)
by: Bogner, Justus, et al.
Published: (2024)
Green Prompt Engineering: Investigating the Energy Impact of Prompt Design in Software Engineering
by: De Martino, Vincenzo, et al.
Published: (2025)
by: De Martino, Vincenzo, et al.
Published: (2025)
RESTRuler: Towards Automatically Identifying Violations of RESTful Design Rules in Web APIs
by: Bogner, Justus, et al.
Published: (2024)
by: Bogner, Justus, et al.
Published: (2024)
Similar Items
-
How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection
by: Omar, Rafiullah, et al.
Published: (2024) -
Analyzing the Evolution and Maintenance of ML Models on Hugging Face
by: Castaño, Joel, et al.
Published: (2023) -
Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems
by: Kumar, Apoorva Nalini Pradeep, et al.
Published: (2024) -
On the Effectiveness of Microservices Tactics and Patterns to Reduce Energy Consumption: An Experimental Study on Trade-Offs
by: Xiao, Xingwen, et al.
Published: (2025) -
A Synthesis of Green Architectural Tactics for ML-Enabled Systems
by: Järvenpää, Heli, et al.
Published: (2023)