Enhancing workflow efficiency with a modified Firefly Algorithm for hybrid cloud edge environments
Efficient scheduling of scientific workflows in hybrid cloud-edge environments is crucial for
optimizing resource utilization and minimizing completion time. In this study, we evaluate …
optimizing resource utilization and minimizing completion time. In this study, we evaluate …
Pattern learning for scheduling microservice workflow to cloud containers
W Li, X Li, L Chen - International Journal of Machine Learning and …, 2024 - Springer
Patterns are crucial for efficiently scheduling microservice workflow applications to
containers in cloud computing scenarios. However, it is challenging to learn patterns of …
containers in cloud computing scenarios. However, it is challenging to learn patterns of …
Design of an Improved Method for Task Scheduling Using Proximal Policy Optimization and Graph Neural Networks
NA Reddy, BV Gokulnath - IEEE Access, 2024 - ieeexplore.ieee.org
Modern computational environments have been getting more and more complex and
dynamic; hence, mechanisms of task scheduling are increasingly sophisticated in order to …
dynamic; hence, mechanisms of task scheduling are increasingly sophisticated in order to …
MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection
Scheduling workflows in hybrid cloud environments presents significant challenges due to
the inherent complexity of workflows and the dynamic nature of cloud resources. This …
the inherent complexity of workflows and the dynamic nature of cloud resources. This …