Reducing energy usage in resource-intensive Java-based scientific applications via micro-benchmark based code refactorings.
Mathias LongoAna RodriguezCristian MateosAlejandro ZuninoPublished in: Comput. Sci. Inf. Syst. (2019)
Keyphrases
- resource intensive
- source code
- energy consumption
- energy minimization
- lightweight
- minimum energy
- comparative analysis
- real world
- data types
- energy efficient
- image segmentation
- code generation
- software evolution
- energy saving
- energy efficiency
- scientific data
- database schema
- significantly reduced
- data quality
- mobile agents
- usage data
- software development
- low energy
- sensor networks
- relational databases