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
- Digital Sector Emissions: Policy Driven Report, March 2024
- Foundations of Measuring Power and Energy Consumption in Video Communication
- Analysis of Energy Intensity and Generic Energy Efficiency Metrics in Communication Networks: Limits, Practical Applications and Case Studies
- Assessing the Carbon Reduction Potential for Video Streaming from Short-Term Coding Changes
- Rate-Quality or Energy-Quality Pareto Fronts for Adaptive Video Streaming?
- Comparative Study of Hardware and Software Power Measurements in Video Compression
- Video Quality Sufficiency for Sustainable Video Streaming
- Rethinking Allocation in High-Baseload Systems: A Demand-Proportional Network Electricity Intensity Metric
For more publications, please visit https://research-information.bris.ac.uk/en/persons/daniel-schien.