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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 5

Joint optimization of energy consumption and load balancing in service function Chain deployment

Wang Changda
Li Rou
Zhang Zhiping
School of Computer Science & Communication Engineering, Jiangsu University, Zhenjiang Jiangsu 212013, China
DOI: 10.19734/j.issn.1001-3695.2024.09.0367

Abstract

To address the dual challenges of energy conservation and network load balance in Service Function Chain (SFC) deployment, this paper introduce an innovative approach named NIR-IACA (Node Importance Ranking-based Improved Ant Colony Algorithm) . This paper utilizes a Particle Swarm Optimization-based CNN-GRU model (PCNN-GRU) in conjunction with Generalized Network Temperature (GNT) to predict node load conditions and identify potential candidates for SFC deployment. Subsequently, this paper crafts an enhanced Ant Colony Algorithm (ACA) guided by a shortest path priority strategy, which is integrated into the High Availability and Resource Scheduling (HARS) framework for node selection and virtual link deployment, ensuring both energy efficiency and load balance. This paper conducts simulations using the Clearwater VNF public dataset, which validate the superiority of NIR-IACA over prevailing methods such as MC-EEVP, DPVC, and RQAP. The approach achieves an average energy saving of 13.09% and improves load balancing by 12.98%. Notably, the solution sustains a commendable acceptance rate for SFC requests, thereby achieving a harmonious balance between energy-efficient SFC deployment and network load management.

Foundation Support

国家自然科学基金项目(62072217)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0367
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 5

Publish History

[2025-03-06] Accepted Paper

Cite This Article

王昌达, 李柔, 张治平. 服务功能链部署的能耗与负载均衡联合优化 [J]. 计算机应用研究, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0367. (Wang Changda, Li Rou, Zhang Zhiping. Joint optimization of energy consumption and load balancing in service function Chain deployment [J]. Application Research of Computers, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0367. )

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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