Containerized Workflow Builder for Kubernetes

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Docker and Kubernetes have recently dominated the whole cloud-native technology ecosystem and speeded up the containerization process of workflows. By optimizing the task scheduling order, workflow scheduling algorithms signifi-cantly improve the execution efficiency of workflows. However, existing works do not support workflow scheduling following the optimized task scheduling order on Kubernetes. How to ensure the consistency of workflow scheduling algorithms and Kubernetes scheduler in task scheduling order is challenging. In this paper, we propose a Containerized Workflow Builder (CWB) for Kubernetes, a framework able to implement con-tainerization of workflows in a two-level scheduling scheme and connect workflow scheduling algorithms to Kubernetes, ensuring the consistency of the task scheduling order. It uses the Informer component to watch the underlying resource events of Kubernetes, providing the event trigger mechanism to respond to event callback in real-time and implement containerization of workflows by the Client-go package. Experimental results show that our proposed CWB ensures the consistency of the workflow scheduling algorithms and Kubernetes scheduler in the task scheduling order. Compared with the state-of-the-art, the CWB achieves better performance in terms of average task pod execution time, average workflow lifecycle, and resource usage rate.

Original languageEnglish
Title of host publication2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages685-692
Number of pages8
ISBN (Electronic)9781665494571
DOIs
Publication statusPublished - 2022
Event23rd IEEE International Conference on High Performance Computing and Communications, 7th IEEE International Conference on Data Science and Systems, 19th IEEE International Conference on Smart City and 7th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021 - Haikou, Hainan, China
Duration: 20 Dec 202122 Dec 2021

Publication series

Name2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

Conference

Conference23rd IEEE International Conference on High Performance Computing and Communications, 7th IEEE International Conference on Data Science and Systems, 19th IEEE International Conference on Smart City and 7th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021
Country/TerritoryChina
CityHaikou, Hainan
Period20/12/2122/12/21

Keywords

  • Containerization
  • Event Trigger Mechanism
  • Kubernetes
  • Workflow Scheduling

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