Workflows are an application model that enables the automated execution of multiple
interdependent and interconnected tasks. They are widely used by the scientific community …

Containers are a lightweight cloud infrastructure deployment technology that has gained
unprecedented popularity due to their flexible portability, low overhead, and resources …

The increasing use of workflows in various fields of science has led to the development of
the Workflow as a Service (WaaS) platform, which provides workflow execution as a service …

VM consolidation and Dynamic Voltage Frequency Scaling approaches have been proved
to be efficient to reduce energy consumption in cloud data centers. However, the existing …

In the cloud-native era, Kubernetes-based workflow engines simplify the execution of
containerized workflows. However, these engines face challenges in dynamic environments …

More and more attention has been paid to microservices from traditional monolithic
workflows. How to rent on-demand and spot instances for microservice tasks in cloud …

We propose a comprehensive solution for reproducibility of scientific workflows. We focus
particularly on Kubernetes-managed container clouds, increasingly important in scientific …

Workflows are special applications used to solve complex scientific problems. The emerging
Workflow as a Service (WaaS) model provides scientists with an effective way of deploying …

We present a platform to support the AI development lifecycle with focus on large data like
remote sensing. We target developers who are not allowed to use existing commercial cloud …

Efficient utilization of resources plays an important role in the performance of large scale
task processing. In cases where heterogeneous types of resources are used within the same …