Efficient Multi-Cluster Scheduling for Heterogeneous Workloads
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3626730
Abstract: As heterogeneous multi-cluster environments become increasingly prevalent in large-scale AI and data-intensive workloads, traditional scheduling strategies struggle to balance efficiency, scalability, and adaptability. This paper proposes a unified cross-cluster scheduling framework that addresses these challenges… read more here.
Keywords: resource; cluster scheduling; cluster; multi cluster ... See more keywords
DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3205325
Abstract: Cluster schedulers are crucial in high-performance computing (HPC). They determine when and which user jobs should be allocated to available system resources. Existing cluster scheduling heuristics are developed by human experts based on their experience… read more here.
Keywords: cluster scheduling; deep reinforcement; cluster; performance computing ... See more keywords