EOLE: Combining Static and Dynamic Scheduling Through Value Prediction to Reduce Complexity and Increase Performance.
Arthur PeraisAndré SeznecPublished in: ACM Trans. Comput. Syst. (2016)
Keyphrases
- prediction accuracy
- scheduling problem
- combining multiple
- significantly reduced
- resource allocation
- scheduling algorithm
- np hard
- worst case
- prediction model
- dynamic scheduling
- learning algorithm
- flexible manufacturing systems
- resource constraints
- special case
- computational complexity
- multiscale
- website
- artificial intelligence