The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …

Cluster scheduler is crucial in high-performance computing (HPC). It determines when and
which user jobs should be allocated to available system resources. Existing cluster …

Efficient task scheduling has become increasingly complex as the number and type of tasks
proliferate and the size of computing resource grows in large-scale distributed high …

Accommodating long-running deep learning (DL) training and inference jobs is challenging
on GPU clusters that use traditional batch schedulers, such as Slurm. Given fixed wall clock …

Abstract High-Performance Computing (HPC) domain provided the necessary tools to
support the scientific and industrial advancements we all have seen during the last decades …

Cloud platforms today make efficient use of storage resources by slicing them among multi-
tenant applications on demand. However, our study discloses that the cloud storage is still …

The use of cloud computing for delivering application services over the Internet has gained
rapid traction. Since the beginning of the COVID-19 global pandemic, the work from home …

This paper studies the use of Curriculum Learning on Reinforcement Learning (RL) to
improve the performance of the dispatching policies learned on the Job-shop Scheduling …

Parallel machine scheduling with sequence-dependent family setups has attracted much
attention from academia and industry due to its practical applications. In a real-world …

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 …