12 citations · 25 across the 13 of their papers we have counts for
15 papers
Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations
Nada Zine, Tristan Coignion, Vincenzo Stoico +4
Large Language Models are reshaping how software is developed and maintained. They are typically deployed in production using inference engines such as vLLM, which can efficiently…
Toward Energy-Efficient and Low-Power Arrhythmia Detection for Wearable Devices
Floriaan Bulten, Yawar Rasheed, Arlene John +2
Cardiovascular diseases are the leading cause of death worldwide, and conditions such as arrhythmia often require long-term monitoring for effective detection and diagnosis. Howeve…
Static Metrics Are Insufficient: Predicting Java Method Energy Usage with Execution Time
Muhammad Imran, Vincenzo Stoico, Ivano Malavolta
The increasing energy demand of software systems is raising concerns about their environmental impact and associated costs. Reasoning on energy usage early in the development flow…
What Is the Cost of Energy Monitoring? An Empirical Study on the Overhead of RAPL-Based Tools
Jeremy Diamond, Vincenzo Stoico
The Running Average Power Limit (RAPL) interface is widely used to estimate software energy consumption via CPU and DRAM counters, but tool design differences and high-frequency po…
Toward an Architectural Blueprint to Observe Sustainability in and by Software Systems
Klervie Toczé, Andrei Dragomir, Vincenzo Stoico +1
Enabling observability in software systems brings many benefits. It can, for example, ease the identification of issues or the implementation of improvements. It is especially crit…
An Empirical Study on How Architectural Topology Affects Microservice Performance and Energy Usage
Irena Ristova, Vincenzo Stoico
Microservice architectures form the backbone of modern software systems for their scalability, resilience, and maintainability, but their rise in cloud-native environments raises e…
Performance Antipatterns: Angel or Devil for Power Consumption?
Alessandro Aneggi, Vincenzo Stoico, Andrea Janes
Performance antipatterns are known to degrade the responsiveness of microservice-based systems, but their impact on energy consumption remains largely unexplored. This paper empiri…
Green LLM Techniques in Action: How Effective Are Existing Techniques for Improving the Energy Efficiency of LLM-Based Applications in Industry?
Pelin Rabia Kuran, Rumbidzai Chitakunye, Vincenzo Stoico +2
The rapid adoption of large language models (LLMs) has raised concerns about their substantial energy consumption, especially when deployed at industry scale. While several techniq…
Generating Energy-Efficient Code via Large-Language Models -- Where are we now?
Radu Apsan, Vincenzo Stoico, Michel Albonico +3
Context. The rise of Large Language Models (LLMs) has led to their widespread adoption in development pipelines. Goal. We empirically assess the energy efficiency of Python code ge…
An Empirical Study on the Performance and Energy Usage of Compiled Python Code
Vincenzo Stoico, Andrei Calin Dragomir, Patricia Lago
Python is a popular programming language known for its ease of learning and extensive libraries. However, concerns about performance and energy consumption have led to the developm…
Ten Years of Teaching Empirical Software Engineering in the context of Energy-efficient Software
Ivano Malavolta, Vincenzo Stoico, Patricia Lago
In this chapter we share our experience in running ten editions of the Green Lab course at the Vrije Universiteit Amsterdam, the Netherlands. The course is given in the Software En…
A Controlled Experiment on the Energy Efficiency of the Source Code Generated by Code Llama
Vlad-Andrei Cursaru, Laura Duits, Joel Milligan +4
Context. Nowadays, 83% of software developers use Large Language Models (LLMs) to generate code. LLMs recently became essential to increase the productivity of software developers…
How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection
Rafiullah Omar, Justus Bogner, Joran Leest +3
ML-enabled systems that are deployed in a production environment typically suffer from decaying model prediction quality through concept drift, i.e., a gradual change in the statis…
Many-Objective Optimization of Non-Functional Attributes based on Refactoring of Software Models
Vittorio Cortellessa, Daniele Di Pompeo, Vincenzo Stoico +1
Software quality estimation is a challenging and time-consuming activity, and models are crucial to face the complexity of such activity on modern software applications. In this co…
On the impact of Performance Antipatterns in multi-objective software model refactoring optimization
Vittorio Cortellessa, Daniele Di Pompeo, Vincenzo Stoico +1
Software quality estimation is a challenging and time-consuming activity, and models are crucial to face the complexity of such activity on modern software applications. One main c…