System Development & Application
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 12
3701-3705

Load balancing strategy of streaming computing platform based on tabu search

Wang Yingjie1
Li Ziyang1
Yu Jiong1,2
Chen Pengcheng1
1. School of Software, Xinjiang University, Urumqi 830008, China
2. School of Information Science & Engineering, Xinjiang University, Urumqi 830046, China
DOI: 10.19734/j.issn.1001-3695.2023.04.0180

Abstract

Focused on the problem of unbalanced computing load distribution and low resource utilization in the native scheduling mechanism of big data streaming computing platform, this paper proposed a load balancing strategy based on tabu search algorithm in heterogeneous environments and applied to the Apache Flink platform. Firstly, this strategy set up a job topology model and abstracted the topology of streaming computing jobs as a directed acyclic graph. Therefore, each task slot became a node, which established the foundation for performance evaluation of computing nodes. Secondly, the method imported the performance evaluation model to nodes with performance weights in the directed acyclic graph, and obtained the performance of the nodes through normalization processing. Then the evaluation parameters were passed into the tabu search for job path optimization, so as to obtain the optimal job path. Finally, by using the CustomPatitionerWrapper interface, this strategy allocated data to the nodes included in the optimal job path and completed the balancing of computational load. The algorithm then passed evaluation parameters into the tabu scheduling algorithm for job path optimization, thereby obtaining the optimal job path. The experimental results show that the load balancing strategy optimized by the tabu scheduling algorithm reduces the average computing latency by 10~20 ms compared to the native Flink platform. The strategy significantly improves resource utilization, and increases average throughput by about 15%. This effectively proves the effectiveness and optimization effect of the load balancing strategy.

Foundation Support

国家自然科学基金资助项目(62262064,62266043,61966035)
新疆维吾尔自治区重点研发项目(2022295358)
新疆维吾尔自治区自然科学基金资助项目(2022D01C56)
新疆大学博士研究生创新项目(XJU2022BS072)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0180
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: System Development & Application
Pages: 3701-3705
Serial Number: 1001-3695(2023)12-028-3701-05

Publish History

[2023-07-13] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

王英杰, 李梓杨, 于炯, 等. 基于禁忌搜索的流式计算平台负载均衡策略 [J]. 计算机应用研究, 2023, 40 (12): 3701-3705. (Wang Yingjie, Li Ziyang, Yu Jiong, et al. Load balancing strategy of streaming computing platform based on tabu search [J]. Application Research of Computers, 2023, 40 (12): 3701-3705. )

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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