D2.4 Integrated AI-Scheduler Prototype
Authors/Creators
- 1. University of Göttingen
- 2. Cardiff University School of Chemistry
Contributors
Project member (2):
Description
The Integrated AI-Scheduler Prototype is designed to dynamically optimize and manage job schedul-
ing across diverse compute environments, including HPC, cloud, and edge systems. The AI-Scheduler
employs advanced algorithms to select the most efficient scheduling strategy based on real-time job
and node characteristics.
This deliverable outlines the prototype’s implementation, demonstrating its capabilities through
simulations and real-world use cases. The report covers the methodologies applied, the tools and
models developed, engineering process to validate and optimize the system output and the key
achievements made in this phase. The findings showcase the effectiveness of the AI-Scheduler in
improving energy efficiency, resource utilization, and job throughput across different environments.
Files
D2_4IntegratedAI_SchedulerPrototype.pdf
Files
(2.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:00fbeb4bf43ee4638b6aa36ba5ab0737
|
2.0 MB | Preview Download |