A Comparative Analysis of Monolith vs Microservices Energy Consumption, Presented by Eoan O’Dea
- Conference Link: ECSA 2025
- Slides: Mono vs Micro Energy Consumption
Software Architecture in the Age of Agentic AI
- Conference Link: ECSA 2025
- Slides: SA in The Age of Agentic AI
A Visionary Architecture for Adaptive DataContracts in Behavior-Driven IoT Systems
- Conference Link: ECSA 2025
- Slides: Visionary Architecture
DQGen: Scalable Metadata-Driven Automation for Data Quality Validation in Data-Intensive Applications
- Conference Link: ECSA 2025
- Slides: Data Quality
DAT is an architecture description and associated modeling platform for the model-driven engineering of Data Architecture for IoT.
Source Code : Link
The CAPS Modeling framework was created to support Situational Aware Cyber-Physical Systems (SiA-CPS) engineering. SiA-CPS are systems consisting of a set of IoT devices such as sensors, cameras, etc, and they are essentially used to continuously monitor the (users) given indoor/outdoor spaces. The data gathered during the process are then converted to actionable insights.
LLM-AGENT ARCHITECTURES – BLUEPRINTING THE NEXT WAVE OF AUTONOMOUS SOFTWARE
FairWatt: An Energy Accounting System for Fair and Sustainable Data Centers
- Conference Link: ICT4S 2025
- Slides: FairWatt
DATCloud: A Model-Driven Framework for Multi-Layered Data-Intensive Architectures
Architecture Description Framework For Data-Intensive Applications
- Conference Link : IDSTA2023
Quality by Prompt: LLM-Powered Transformation of Data Quality Requirements into Great Expectations
- Conference Link: SEAA 2025
- Slides: A Quality By Prompt
Greening the AI: Evaluating tokenization methods for Energy-efficient NLP
- Conference Link: ICT4S 2025
- Slides: A Measurement-Driven Approach
A Measurement-Driven Approach to Enhancing Sustainability in Microservice Architectures
- Conference Link: ICSA 2025
- Slides: A Measurement-Driven Approach
PyDaQu: Python Data Quality Code Generation Based on DAT @Model2023 Conference
- Source Code : Link
DAT is an architecture description and associated modeling platform for the model-driven engineering of Data Architecture for IoT Data-Driven Applications.
- Source Code : Link