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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 3
756-763

Accelerated particle swarm optimization algorithm for container deployment in cloud environments

Lu Haifeng1
Zhao Jialing1
Ouyang Xueming2
Zhou Naqin3
Zuo Liyun4
1. Information Center Dept. , Zhaoqing University, Zhaoqing Guangdong 526061, China
2. School of Software, South China University of Technology, Guangzhou 510006, China
3. Cyberspace Institute of Advanced technology, Guangzhou University, Guangzhou 510006, China
4. School of Computer Science, Guangdong University of Petrochemical Technology, Maoming Guangdong 525000, China
DOI: 10.19734/j.issn.1001-3695.2023.07.0312

Abstract

Container-based microservice deployment is a challenging problem that aims to improve user experience and increase cloud providers' profitability by reducing microservice failure rates and response times while maximizing resource utilization. This paper presented an enhanced accelerated particle swarm optimization algorithm to tackle the multi-objective optimization problem of microservice container deployment in a cluster. By considering the invocation relationships between microservices, the algorithm facilitated the aggregation of containers, thereby reducing data transmission costs, lowering failure rates, and enhancing cluster resource utilization. Experimental results demonstrate that the proposed optimization algorithm yields significant improvements in performance measures including data transmission overhead, failure rate, and resource utilization when compared to existing deployment algorithms. Specifically, the algorithm achieves a container aggregation improvement exceeding 40%, an average increase in data transmission consumption of over 4%, a decrease in failure rate by 10% to 20%, and an increase in utilization rate by roughly 3%. The aforementioned findings attest to the efficacy of the proposed algorithm.

Foundation Support

国家自然科学基金资助项目(62002078)
广东省自然科学基金资助项目(2023A1515012874)
广东省科技专项资金资助项目(2021S0053)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0312
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 3
Section: Algorithm Research & Explore
Pages: 756-763
Serial Number: 1001-3695(2024)03-016-0756-08

Publish History

[2023-09-27] Accepted Paper
[2024-03-05] Printed Article

Cite This Article

陆海锋, 赵嘉凌, 欧阳学名, 等. 云环境下实现容器部署的加速粒子群优化算法 [J]. 计算机应用研究, 2024, 41 (3): 756-763. (Lu Haifeng, Zhao Jialing, Ouyang Xueming, et al. Accelerated particle swarm optimization algorithm for container deployment in cloud environments [J]. Application Research of Computers, 2024, 41 (3): 756-763. )

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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