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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 12

Adaptive mechanism for collaborative service deployment and task scheduling in smart cities

Chen Tingting1,2
Wang Suhong1,2
Tang Yuben2,3
Cai Zheng1,2
Qin Tuanfa1,2
1. School of Computer & Electronic Information, Guangxi University, Nanning 530004, China
2. Key Laboratory of Multimedia Communications & Network Technology, Guangxi University, Nanning 530004, China
3. School of Electrical Engineering, Guangxi University, Nanning 530004, China
DOI: 10.19734/j.issn.1001-3695.2024.05.0143

Abstract

Edge computing leverages computing, storage, and networking resources at the edge to provide users with low latency and high responsiveness services. However, in smart city edge systems, challenges such as limited resources, diverse service requests, and edge server overload persist. To address these challenges, this paper investigated the problem of joint service deployment and task scheduling under resource constraints and proposed an adaptive collaborative service deployment and task scheduling scheme based on a hierarchical time frame. The method aimed to optimize system latency and load balancing while considering task priority. Firstly, this paper established a system cost model involving system latency and load balancing and introduced Service Level Agreements (SLAs) to enhance flexibility. Secondly, by considering service priority and access frequency, it developed a heuristic service deployment algorithm and proposed an improved Binary Equilibrium Optimizer (BiEO) task scheduling algorithm to optimize system costs. Finally, this paper conducted simulation experiments using the Shanghai Telecom dataset. The results show that the proposed method reduces the average weighted response time (AWRT) by more than 12.35% and improves load balancing by more than 14.47% compared with other methods. This approach achieves lower latency while ensuring a balanced load on edge servers.

Foundation Support

广西重点研发计划项目(桂科AB24010274)
广西创新驱动发展专项(桂科AA20302002-2)
广西科技基地和人才专项(桂科AD24010061)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.05.0143
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 12

Publish History

[2024-09-06] Accepted Paper

Cite This Article

陈婷婷, 王素红, 唐钰本, 等. 智慧城市中协同服务部署与任务调度的自适应机制 [J]. 计算机应用研究, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.05.0143. (Chen Tingting, Wang Suhong, Tang Yuben, et al. Adaptive mechanism for collaborative service deployment and task scheduling in smart cities [J]. Application Research of Computers, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.05.0143. )

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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