About Daniel
As a computer scientist with a deep understanding of the software design principles that affect energy consumption in large-scale distributed systems, Daniel’s research seeks to overcome challenges and identify opportunities to operate tomorrow’s ICT-enabled services more dependably and efficiently. With his experience as a software engineer in industry he applies and develops computer science techniques for modelling and prototyping of systems that are dependable, trusted and scalable. Application domains that are particularly interesting to me are Smart City, Internet of Things and autonomous systems, based on Cloud and Fog technologies and the Web.
Projects
Publications
- Global Datacentre Electricity Consumption is not correlated with Data Demand: Responding to Implausible Assumptions and Flawed Modelling in Castro et al. 2024
- Guidelines for assessments of the global information and communication technology sector's direct energy use and climate impact: Key Aspects and Future Scenarios
- The environmental impact, carbon emissions and sustainability of computing in the ATLAS experiment
- The environmental footprint of data storage or what can lie behind a gigabyte
- Artificial Intelligence and Circular Economy: An Exploration of the Ecological Infosphere
- A Conceptual Model to Assess the Environmental Impacts of Digital Product Passports
- Beyond Counting Carbon: AI Environmental Assessments Struggle to Inform Net Impact Decisions
- Understanding Energy Efficiency in Communication Networks: Example of an Idealized 6G Base Station
For more publications, please visit https://research-information.bris.ac.uk/en/persons/daniel-schien.