This session will engage listeners in an important discussion about making future digital infrastructures greener in the sense of limited or optimized energy usage, reduced CO2 footprint and environmental impact. This topic is widely discussed, but current developments are fragmented and don't address the whole ecosystem of the modern digital infrastructure or provide solutions that can used by all involved actors/parties. Sustainability became even more important and urgent with the growing use of GenAI and LLM in all activity domains, including research.
The presented results and proposed approach and solutions are based on the outcome of the multi-partner project GreenDIGIT, which targets greening future digital Research Infrastructures (RI), and intends to provide solutions for datacenter and RI operators, as well as research projects and researchers that run their research workflow on distributed computing infrastructure including continuum of Sensor/IoT, RAN, edge, cloud, and storage and data sharing.
The presentation will cover the systematic analysis of the sustainability domain and the existing standardization and regulation base for energy efficiency and environmental impact. It will also explore the identification of ICT-related aspects and propose approaches for defining the architecture of future green digital infrastructures. Lastly, we'll discuss the Shared Responsibility Model for Sustainability and ongoing research on the Sustainability-by-Design approach.
The expected takeaways:
- Systemized landscape analysis for system and software engineering that can be applied to different domains and all developers can find their place and role
- Shared responsibility Model for Sustainability - this is considered an innovative model that consistently address current challenges and possible solutions for consolidates movement to greening of the future ICT domain(s)
- Link of the proposed technical solutions to the existing standards and regulations that currently define policy and audit/certification aspects for energy efficiency and environmental impact
- Required competence, knowledge and development tools to address energy and environment impact aspects in development and operation of applications and infrastructure.
