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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 10

Task preemption-based computational offloading and cache optimization method in VEC

Shi Jiea,b
Tang Honga,b
Liu Zixinga,b
Yan Xingruia,b
a. School of Communications & Information Engineering, b. Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2025.04.0083

Abstract

With the rapid advancement of intelligent transportation systems, challenges such as uneven computing resource allocation and task latency sensitivity in Vehicular Edge Computing (VEC) have become increasingly prominent. However, static resource allocation methods in existing studies are insufficient for dynamic vehicular environments. To address this issue, this paper proposes a task preemption-based joint optimization framework for computation offloading and caching, enabling elastic cache expansion and efficient task scheduling. First, this paper established a collaborative computing model for multiple vehicles and Road Side Unit (RSU) , considering task priority and utilizing idle resources from parked vehicles. A Zipf distribution-based caching strategy was introduced to improve content placement. Then this paper integrated a task preemption mechanism to prioritize urgent tasks and alleviate RSU overload. Subsequently, this paper formulated A joint optimization problem to minimize average system delay by optimizing offloading and caching strategies. As the problem is high-dimensional and nonlinear, this paper proposed a Deep Reinforcement Learning based improved Asynchronous Advantage Actor-Critic algorithm. Simulation results demonstrate that the proposed method significantly reduces latency and improves task completion rates, enhancing user experience in practical vehicular environments.

Foundation Support

国家自然科学基金资助项目(61971080)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.04.0083
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 10

Publish History

[2025-06-17] Accepted Paper

Cite This Article

施杰, 唐宏, 刘子兴, 等. 基于任务抢占的VEC计算卸载与缓存优化方法 [J]. 计算机应用研究, 2025, 42 (10). (2025-06-19). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0083. (Shi Jie, Tang Hong, Liu Zixing, et al. Task preemption-based computational offloading and cache optimization method in VEC [J]. Application Research of Computers, 2025, 42 (10). (2025-06-19). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0083. )

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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