Can I read KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes on EtoBox?

KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes by Shan, Chenggang; Wang, Guan; Xia, Yuanqing; Zhan, Yufeng; Zhang, Jinhui is a scholarly article available to read on EtoBox.

What is KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes about?

As Kubernetes becomes the infrastructure of the cloud-native era, the integration of workflow systems with Kubernetes is gaining more and more popularity. To our knowledge, workflow systems employ scheduling algorithms that optimize task execution order of workflow to improve performance and execution efficiency. However, due to its inherent scheduling mechanism, Kubernetes does not execute containerized scheduling following the optimized task execution order of workflow amid migrating workflow systems to the Kubernetes platform. This inconsistency in task scheduling order seriously degrades the efficiency of workflow execution and brings numerous challenges to the containerized process of workflow systems on Kubernetes. In this paper, we propose a cloud-native workflow engine, also known as KubeAdaptor, a docking framework able to implement workflow containerization on Kubernetes, integrate workflow systems with Kubernetes, ensuring the consistency of task scheduling order. We introduce the design and architecture of the KubeAdaptor, elaborate on the functionality implementation and the event-trigger mechanism within the KubeAdaptor. Experimental results about four real-world work

Author

Shan, Chenggang; Wang, Guan; Xia, Yuanqing; Zhan, Yufeng; Zhang, Jinhui

Published

2022

Language

EN