Image de couverture de livre

How Does Microservice Granularity Impact Energy Consumption and Performance? A Controlled Experiment

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhao, Yiming, De Matteis, Tiziano, Bogner, Justus
Format:	Preprint
Publié:	2025
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

How Do Microservice API Patterns Impact Understandability? A Controlled Experiment
par: Bogner, Justus, et autres
Publié: (2024)

On the Effectiveness of Microservices Tactics and Patterns to Reduce Energy Consumption: An Experimental Study on Trade-Offs
par: Xiao, Xingwen, et autres
Publié: (2025)

On the Effectiveness of Proposed Techniques to Reduce Energy Consumption in RAG Systems: A Controlled Experiment
par: Guo, Zhinuan, et autres
Publié: (2026)

Towards an Architecture-centric Methodology for Migrating to Microservices
par: Fritzsch, Jonas, et autres
Publié: (2022)

Do RESTful API Design Rules Have an Impact on the Understandability of Web APIs? A Web-Based Experiment with API Descriptions
par: Bogner, Justus, et autres
Publié: (2023)

Beyond Self-Promotion: How Software Engineering Research Is Discussed on LinkedIn
par: Wyrich, Marvin, et autres
Publié: (2024)

To Type or Not to Type? A Systematic Comparison of the Software Quality of JavaScript and TypeScript Applications on GitHub
par: Bogner, Justus, et autres
Publié: (2022)

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

Notes On Writing Effective Empirical Software Engineering Papers: An Opinionated Primer
par: Verdecchia, Roberto, et autres
Publié: (2025)

The Human Need for Storytelling: Reflections on Qualitative Software Engineering Research With a Focus Group of Experts
par: Verdecchia, Roberto, et autres
Publié: (2025)

ACM SIGSOFT SEN Empirical Software Engineering: Introducing Our New Regular Column
par: Bogner, Justus, et autres
Publié: (2025)

Green LLM Techniques in Action: How Effective Are Existing Techniques for Improving the Energy Efficiency of LLM-Based Applications in Industry?
par: Kuran, Pelin Rabia, et autres
Publié: (2026)

40 Years of Designing Code Comprehension Experiments: A Systematic Mapping Study
par: Wyrich, Marvin, et autres
Publié: (2022)

A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System
par: Grote, Marcel, et autres
Publié: (2023)

Apples, Oranges, and Software Engineering: Study Selection Challenges for Secondary Research on Latent Variables
par: Wyrich, Marvin, et autres
Publié: (2024)

How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection
par: Omar, Rafiullah, et autres
Publié: (2024)

AI Techniques in the Microservices Life-Cycle: A Systematic Mapping Study
par: Moreschini, Sergio, et autres
Publié: (2023)

An Empirical Study on How Architectural Topology Affects Microservice Performance and Energy Usage
par: Ristova, Irena, et autres
Publié: (2026)

Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
par: Heiland, Lukas, et autres
Publié: (2023)

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

An Analysis of MLOps Architectures: A Systematic Mapping Study
par: Najafabadi, Faezeh Amou, et autres
Publié: (2024)

A Feature Dataset of Microservices-based Systems
par: Yang, Weipan, et autres
Publié: (2024)

RESTRuler: Towards Automatically Identifying Violations of RESTful Design Rules in Web APIs
par: Bogner, Justus, et autres
Publié: (2024)

VAMP: Visual Analytics for Microservices Performance
par: Traini, Luca, et autres
Publié: (2024)

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

Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems
par: Kumar, Apoorva Nalini Pradeep, et autres
Publié: (2024)

Adaptable Teastore with Energy Consumption Awareness: A Case Study
par: De Medeiros, Henrique, et autres
Publié: (2025)

Microservices a Definition Analyzed by ßMACH
par: Hilbrich, Marcus, et autres
Publié: (2024)

Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
par: Umm-e-Habiba, et autres
Publié: (2022)

Can AI Agents Generate Microservices? How Far are We?
par: Adnan, Bassam, et autres
Publié: (2026)

On the Energy Consumption of Test Generation
par: Kifetew, Fitsum, et autres
Publié: (2025)

A Synthesis of Green Architectural Tactics for ML-Enabled Systems
par: Järvenpää, Heli, et autres
Publié: (2023)

Energy Flow Graph: Modeling Software Energy Consumption
par: Rajput, Saurabhsingh, et autres
Publié: (2026)

Energy Consumption of Automated Program Repair
par: Martinez, Matias, et autres
Publié: (2022)

Unveiling the Energy Vampires: A Methodology for Debugging Software Energy Consumption
par: Roque, Enrique Barba, et autres
Publié: (2024)

Structural Coupling for Microservices
par: Panichella, Sebastiano, et autres
Publié: (2021)

The Microservice Dependency Matrix
par: Abdelfattah, Amr S., et autres
Publié: (2023)

Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?
par: Pham, Luan, et autres
Publié: (2024)

Analyzing the Evolution and Maintenance of ML Models on Hugging Face
par: Castaño, Joel, et autres
Publié: (2023)

Quantum Microservices Development and Deployment
par: Moguel, Enrique, et autres
Publié: (2023)