When deploying workflows in cloud environments, the use of Spot Instances (SIs) is
intriguing as they are much cheaper than on-demand ones. However, SIs are volatile and …

With the development of cloud computing, multi-cloud systems have become common
platforms for hosting and executing workflow applications in recent years. However, the …

Telco players are constantly evaluating their loss in customer revenue or customer churn,
especially on the prevention, control, and risk assessment of churn. In this paper, a domain …

As Kubernetes becomes the infrastructure of the cloud-native era, the integration of workflow
systems with Kubernetes is gaining more and more popularity. However, when migrating the …

As the geographically distributed cloud infrastructure continues to grow in scale and the
intricacy of workflow applications increases, there is a growing threat to the operational …

Workflow scheduling poses a significant challenge in cloud computing environments,
offering the potential to optimize execution time and reduce economic costs. In this paper …

In the context of cloud systems, the effectiveness of placing modules for optimal reliability
and end-to-end delay (EED) is directly linked to the success of scheduling distributed …

Owing to real-world demands for global collaboration and increasing volumes of data to be
analyzed, many data-intensive workflow applications are deployed in geographically …

In cloud control systems, generating an efficient and economical workflow scheduling
strategy for deadline-constrained workflow applications, especially in uncertain multi …

As more IoT applications gradually move towards the cloud-edge collaborative mode, the
containerized scheduling of workflows extends from the cloud to the edge. However, given …