App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 8

Heterogeneous task offloading method based on service update

Han Chaochen
Zhang Junna
Wang Xinxin
Yuan Peiyan
Zhao Xiaoyan
Liu Chunhong
College of Computer & Information Engineering, Henan Normal University, Xinxiang Henan 453007, China
DOI: 10.19734/j.issn.1001-3695.2023.12.0605

Abstract

Edge computing brings storage and compute resources down to the edge of the network. Users can offload latency-sensitive and compute-intensive applications to the edge server for execution, thereby reducing latency and energy consumption. Existing task offload studies often fall short. The first point is that the existing research on task offloading often overlooks the heterogeneity of offloading tasks. The second point is that the default edge server caching service can meet the long-term service needs of users. However, different tasks require different services to provide execution environments. And the finite resources of edge servers can only deploy a small number of services. Therefore, to minimize latency and energy consumption (i. e. cost) . This article proposes a heterogeneous task offloading method that combines service updates and cloud edge collaboration. The method consists of the following two main parts. The first part is an improved page replacement algorithm. The algorithm can predict the potential user service demand and update the service of the edge server in time. The second part is the collaboration between the cloud-side ends. Offload tasks through collaboration and keep total costs to a minimum. Finally, it conducted thorough experiments using real datasets. The experimental results show that the proposed method can reduce the total cost by 7% to 16% compared to the comparison method.

Foundation Support

国家自然科学基金资助项目(62072159)
河南省科技攻关项目(232102211061,222102210011)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.12.0605
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 8

Publish History

[2024-03-07] Accepted Paper

Cite This Article

韩超臣, 张俊娜, 王欣新, 等. 基于服务更新的异构任务卸载方法 [J]. 计算机应用研究, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.12.0605. (Han Chaochen, Zhang Junna, Wang Xinxin, et al. Heterogeneous task offloading method based on service update [J]. Application Research of Computers, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.12.0605. )

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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