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
- 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
- Computational and Experimental Study of Aerosol Dispersion in a Ventilated Room
- Avoiding Overconfidence in Predictions of Residential Energy Demand through Identification of the Persistence Forecast Effect
- Demo: The EAM Environmental Modelling and Assessment Toolkit
- Demo: The DIMPACT Tool for Environmental Assessment of Digital Services
For more publications, please visit https://research-information.bris.ac.uk/en/persons/daniel-schien.