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Software Technology Research
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 9
2794-2799

KubeTea:lightweight multi-dimensional microservice application scheduling framework for container cloud environments

Li Zonglin1
He Junjiang1
Li Wenshan1,2
Lyu Xiao1
Lan Xiaolong1
Li Tao1
1. School of Cyber Science & Engineering, Sichuan University, Chengdu 610065, China
2. School of Cybersecurity, Chengdu University of Information Technology, Chengdu 610225, China
DOI: 10.19734/j.issn.1001-3695.2024.01.0009

Abstract

In container clouds, application and resource scheduling has always been a key focus of cluster management. One of the active explorations in the industry is how to improve resource utilization while ensuring application service quality. This paper proposed a lightweight microservice application scheduling framework for container cloud environments. This framework designed a non-intrusive network call observation method and defined affinity, hot value(HV), and hot path(HP) based on observation and monitoring data to guide scheduling decisions. To balance resource utilization and application of QoS, the framework proposed the ESC mechanism in the vertical direction of scheduling and considered microservice affinity in the horizontal direction. Furthermore, it designed the DOAS to alleviate the QoS degradation of applications. Experimental results show that compared with the mainstream Kubernetes native scheduling tool, this framework improves resource utilization by 21% while reducing end-to-end application latency by 23%, achieving a balance between resource utilization and QoS application.

Foundation Support

国家重点研发计划资助项目(2020YFB1805400)
国家自然科学基金资助项目(62032002,62101358)
四川省自然科学青年基金资助项目(2023NSFSC1395)
四川大学专职博士后研发基金资助项目(2023SCU12127)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0009
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 9
Section: Software Technology Research
Pages: 2794-2799
Serial Number: 1001-3695(2024)09-032-2794-06

Publish History

[2024-05-10] Accepted Paper
[2024-09-05] Printed Article

Cite This Article

李宗霖, 何俊江, 李汶珊, 等. KubeTea:面向容器云环境的轻量级多维度微服务应用调度框架 [J]. 计算机应用研究, 2024, 41 (9): 2794-2799. (Li Zonglin, He Junjiang, Li Wenshan, et al. KubeTea:lightweight multi-dimensional microservice application scheduling framework for container cloud environments [J]. Application Research of Computers, 2024, 41 (9): 2794-2799. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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