Algorithm Research & Explore
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2273-2277,2315

Hybrid autoscaling of microservices based on workload prediction

Song Chenghao
Jiang Lingyun
College of Telecommunications & Information Engineering, Nanjing University of Posts & Telecommunication, Nanjing 210003, China

Abstract

Since edge clouds are not more powerful than the central cloud, it is easy to lead to unexpected autoscaling or low resource processing capabilities in response to dynamic workload. Therefore, this paper used the microservice application in a real edge cloud environment to experimentally evaluate two synthesis and two actual workloads. And this paper proposed a hybrid autoscaling method based on workload prediction, which first used machine learning to carry out the workload data characteristics. After obtaining the final workload prediction result, this paper used the predictive workload for hybrid autoscaling module. The simulation shows that the microservice autoscaling policy based on this method can reduce more scaled jitter and more pod container use, and the method is scalable, so it is suitable for the microservice applications in edge cloud environment.

Foundation Support

江苏省重点研发项目(BE2020084-4)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.01.0020
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Algorithm Research & Explore
Pages: 2273-2277,2315
Serial Number: 1001-3695(2022)08-005-2273-05

Publish History

[2022-03-25] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

宋程豪, 江凌云. 基于负载预测的微服务混合自动扩展 [J]. 计算机应用研究, 2022, 39 (8): 2273-2277,2315. (Song Chenghao, Jiang Lingyun. Hybrid autoscaling of microservices based on workload prediction [J]. Application Research of Computers, 2022, 39 (8): 2273-2277,2315. )

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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