App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 8

Collaborative edge–cloud scheduling strategy based on dynamic admission control and delay evaluation for latency-sensitive tasks

Wang Yu
He Dahang
Zuo Liyun
Zhang Kunru
College of Computer Science, Guangdong University of Petrochemical Technology, Maoming Guangdong 525000, China
DOI: 10.19734/j.issn.1001-3695.2025.12.0494

Abstract

Edge-cloud collaboration can effectively reduce the service delay, but the scheduling algorithm faces the challenge of dynamic adaptability. Traditional heuristic scheduling methods have limited adaptability, while Deep Reinforcement Learning (DRL) has strong adaptive ability, but its overhead is large, and it is difficult to be efficiently deployed on resource-constrained edge nodes. Therefore, this paper proposes a lightweight edge-cloud collaborative deployment and task scheduling framework for delay-sensitive applications, and designs a Collaborative Scheduling strategy based on task Admission and Delay Evaluation (CSADE) . By constructing an average delay calculation model and sensing the dynamic load of the edge data center, the strategy evaluates the admission of the task request. Then, we use a lightweight heuristic scheduling strategy to complete edge-cloud scheduling to jointly optimize service delay and user QoS. Compared with the DRL method, it reduces the computational overhead, and it solves the problem of rigid rules and insufficient adaptability of heuristic algorithm. Finally, simulation and real data are used to verify the proposed method: CSADE achieved significant improvements in both average delay and QoS violation rate: the former was reduced by up to approximately 51%, and the latter decreased by up to approximately 33%, thereby demonstrating the effectiveness and engineering feasibility of the approach.

Foundation Support

广东省自然科学基金资助项目(2024A1515010144)
广东省普通高校重点领域专项项目(2023ZDZX3013)
广东石油化工学院研究生科技创新计划项目(2024KJCX003)
茂名绿色化工研究院专业学位研究生联合培养基地科技创新计划项目(2024KJCX003)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.12.0494
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 8

Publish History

[2026-04-23] Accepted Paper

Cite This Article

王昱, 何达航, 左利云, 等. 基于延迟敏感任务动态准入与时延评估的边云协同调度策略 [J]. 计算机应用研究, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0494. (Wang Yu, He Dahang, Zuo Liyun, et al. Collaborative edge–cloud scheduling strategy based on dynamic admission control and delay evaluation for latency-sensitive tasks [J]. Application Research of Computers, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0494. )

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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