Continued from A2: Adapting Genomic Data Analysis Workflows for Different Data Access Patterns
Description
The problem of energy efficiency in big data processing is becoming increasingly important for environmental and sustainability reasons. We will investigate new techniques and algorithms that estimate the energy consumption of a Data Analysis Workflow (DAW) on a given infrastructure, and to apply multi-objective optimization techniques to rewrite DAWs so that they consume less energy.
Scientists
- Somayeh Mohammadi
- Philipp Thamm