Cover Image

On the Effectiveness of Proposed Techniques to Reduce Energy Consumption in RAG Systems: A Controlled Experiment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Zhinuan, Gao, Chushu, Bogner, Justus
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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)

How Does Microservice Granularity Impact Energy Consumption and Performance? A Controlled Experiment
by: Zhao, Yiming, et al.
Published: (2025)

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)

How Do Microservice API Patterns Impact Understandability? A Controlled Experiment
by: Bogner, Justus, et al.
Published: (2024)

Notes On Writing Effective Empirical Software Engineering Papers: An Opinionated Primer
by: Verdecchia, Roberto, 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)

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)

A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System
by: Grote, Marcel, et al.
Published: (2023)

The Human Need for Storytelling: Reflections on Qualitative Software Engineering Research With a Focus Group of Experts
by: Verdecchia, Roberto, et al.
Published: (2025)

ACM SIGSOFT SEN Empirical Software Engineering: Introducing Our New Regular Column
by: Bogner, Justus, et al.
Published: (2025)

40 Years of Designing Code Comprehension Experiments: A Systematic Mapping Study
by: Wyrich, Marvin, et al.
Published: (2022)

Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
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)

How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration
by: Parida, Shreyas Kumar, et al.
Published: (2025)

Apples, Oranges, and Software Engineering: Study Selection Challenges for Secondary Research on Latent Variables
by: Wyrich, Marvin, et al.
Published: (2024)

An Analysis of MLOps Architectures: A Systematic Mapping Study
by: Najafabadi, Faezeh Amou, et al.
Published: (2024)

How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection
by: Omar, Rafiullah, et al.
Published: (2024)

How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions
by: Habiba, Umm-e-, et al.
Published: (2024)

The More the Merrier? Navigating Accuracy vs. Energy Efficiency Design Trade-Offs in Ensemble Learning Systems
by: Omar, Rafiullah, et al.
Published: (2024)

Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems
by: Kumar, Apoorva Nalini Pradeep, et al.
Published: (2024)

RESTRuler: Towards Automatically Identifying Violations of RESTful Design Rules in Web APIs
by: Bogner, Justus, et al.
Published: (2024)

Towards an Architecture-centric Methodology for Migrating to Microservices
by: Fritzsch, Jonas, et al.
Published: (2022)

A Synthesis of Green Architectural Tactics for ML-Enabled Systems
by: Järvenpää, Heli, et al.
Published: (2023)

Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
by: Umm-e-Habiba, et al.
Published: (2022)

AI Techniques in the Microservices Life-Cycle: A Systematic Mapping Study
by: Moreschini, Sergio, et al.
Published: (2023)

On the Energy Consumption of Test Generation
by: Kifetew, Fitsum, et al.
Published: (2025)

Energy Flow Graph: Modeling Software Energy Consumption
by: Rajput, Saurabhsingh, et al.
Published: (2026)

Energy Consumption of Automated Program Repair
by: Martinez, Matias, et al.
Published: (2022)

Unveiling the Energy Vampires: A Methodology for Debugging Software Energy Consumption
by: Roque, Enrique Barba, et al.
Published: (2024)

Analyzing the Evolution and Maintenance of ML Models on Hugging Face
by: Castaño, Joel, et al.
Published: (2023)

Adaptable Teastore with Energy Consumption Awareness: A Case Study
by: De Medeiros, Henrique, et al.
Published: (2025)

Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks
by: He, Pengfei, et al.
Published: (2024)

An Empirical Analysis of Mobile Energy Consumption Across User Configurations
by: Oliveira, Wellington
Published: (2026)

A Comparative Analysis of Energy Consumption Between The Widespread Unreal and Unity Video Game Engines
by: Pérez, Carlos, et al.
Published: (2024)

On The Effectiveness of Dynamic Reduction Techniques in Automated Program Repair
by: Al-Bataineh, Omar I.
Published: (2024)

DRAINCODE: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context Poisoning
by: Wang, Yanlin, et al.
Published: (2026)

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry
by: Wang, Chaozheng, et al.
Published: (2025)

An Empirical Study of Reducing AV1 Decoder Complexity and Energy Consumption via Encoder Parameter Tuning
by: Vibhoothi, Vibhoothi, et al.
Published: (2025)

A Systematic Survey on Debugging Techniques for Machine Learning Systems
by: Nguyen, Thanh-Dat, et al.
Published: (2025)

A Controlled Experiment on the Energy Efficiency of the Source Code Generated by Code Llama
by: Cursaru, Vlad-Andrei, et al.
Published: (2024)