Self-tuning scheduler for streaming data workflows on heterogeneous clusters. Combines HEFT-LC, data-locality scheduling, Q-learning, and a MAPE-K autonomic controller.
-
Updated
May 30, 2026 - Python
Self-tuning scheduler for streaming data workflows on heterogeneous clusters. Combines HEFT-LC, data-locality scheduling, Q-learning, and a MAPE-K autonomic controller.
To associate your repository with the streaming-workflows topic, visit your repo's landing page and select "manage topics."