Skip to main content

Advertisement

Springer Nature Link
Log in

Optimization of network resource management based on software-defined networking in the 5G environment

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

The rapid development of mobile communication technology has led to the concept of the fifth generation mobile communication network (5G). In order to meet the complex and changeable requirements of 5G resources and to promote the innovation of core networks and applications, a new generation of future network architecture, software-defined networking has emerged. New frequency band resources need to be sought to support higher transmission speeds and larger frequency bandwidths. This paper studies network resource optimization in the 5G environment, proposes the particle swarm optimization (PSO) algorithm and uses the PSO algorithm to adjust each tenant’s bandwidth value to optimize network resource management. The performance of the PSO, the fusion and the genetic algorithms are simulated. Results show that the PSO algorithm can reasonably allocate bandwidth resources among congested and wasteful tenant networks, enhance network openness and improve the efficiency and flexibility of network resources. The PSO algorithm is feasible and efficient in solving problems of network resource optimization.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig.10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. Mahmoud A, Abu-Amara M, Scheltema T (2021) Modeling and evaluation of software defined networking based 5G Core network architecture. IEEE Access 9:10179–10198

    Article  Google Scholar 

  2. Tardis N, Risk M, Mokhtar B (2020) Software defined network-based management for enhanced 5g network services. IEEE Access 8:53997–54008

    Article  Google Scholar 

  3. Chen X, Zhu F, Chen Z, Min G, Zheng X, Rong C (2021) Resource allocation for cloud-based software services using prediction-enabled feedback control with reinforcement learning. IEEE Transactions on Cloud Computing, Publish Online

  4. Chen X, Lin J, Ma Y, Lin B, Wang H, Huang G (2019) Self-adaptive resource allocation for cloud-based software services based on progressive QoS prediction model. Sci China Inf Sci 62(11):219101

    Article  Google Scholar 

  5. Chen X, Wang H, Ma Y, Zheng X, Guo L (2020) Self-adaptive resource allocation for cloud-based software services based on iterative QoS prediction model. Futur Gener Comput Syst 105:287–296

    Article  Google Scholar 

  6. Chen X, Li M, Zhong H, Ma Y, Hsu C (2021) DNNOFF: offloading DNN-based intelligent IoT applications in mobile edge computing. IEEE Trans Ind Inf 18:2820–2829 (Publish Online)

    Article  Google Scholar 

  7. Fukuhara S, Tachibana T (2017) Robustness-based resource trading with optimization problem for network slicing. In: IEEE International Conference on Consumer Electronics-Taiwan, pp 337–338

  8. Huang G, Xu M, Lin X, Liu Y, Ma Y, Pushp S, Liu X (2017) Shuffle dog: characterizing and adapting user-perceived latency of android apps. IEEE Trans Mob Comput 16(10):2913–2926

    Article  Google Scholar 

  9. Huang G, Liu X, Ma Y, Lu X, Zhang Y, Xiong Y (2019) Programming situational mobile web applications with cloud-mobile convergence: an internet ware oriented approach. IEEE Trans Serv Comput 12(1):6–19

    Article  Google Scholar 

  10. Huang G, Luo C, Wu K, Ma Y, Zhang Y, Liu X (2019) Software-defined infrastructure for decentralized data lifecycle governance: principled design and open challenges. In: IEEE International Conference on Distributed Computing Systems

  11. Abdulqadder H, Zou D, Aziz I, Yuan B, Dai W (2021) Deployment of robust security scheme in SDN Based 5G network over NFV enabled cloud environment. IEEE Trans Emerg Top Comput 9(2):866–877

    Article  Google Scholar 

  12. Lin B, Huang Y, Zhang J, Hu J, Chen X, Li J (2020) Cost-driven offloading for DNN-based applications over cloud, edge and end devices. IEEE Trans Industr Inf 16(8):5456–5466

    Article  Google Scholar 

  13. Ma L, Wen X, Wang L (2018) An SDN/NFV based framework for management and deployment of service based 5G core network. China Commun 15(10):86–98

    Article  Google Scholar 

  14. Ruaro M, Moraes F (2020) A systemic and secure SDN framework for NoC-based many-cores. IEEE Access 8:105997–106008

    Article  Google Scholar 

  15. Pan Z (2017) Dynamic resource adjustment method in network slice based on SDN. Software 38(12):136–142

    Google Scholar 

  16. Sun XW, Lu L, Sun T (2019) Key technologies and applications of end-to-end network slicing. Telecommun Eng Technol Stand 32(11):55–59

    Google Scholar 

  17. Feng N, Yin Q (2020) Research on computer software engineering database programming technology based on virtualization cloud platform. In: 2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI), pp 696–699. https://doi.org/10.1109/IICSPI51290.2020.9332454

  18. Xu H, Wu H, Song Y(2019) Optimization of MPLS VPN routing Filtering in IP Bearer network. Science and Technology Wind, 000(012):81

  19. Chen C, Chen L, Gan W, Qiu L, Ding W (2021) Discovering high utility-occupancy patterns from uncertain data. Inf Sci 546:1208–1229

    Article  MathSciNet  Google Scholar 

  20. Chen C, Huang Y, Wang K, Kumari S, Wu M (2020) A secure authenticated and key exchange scheme for fog computing. Enterp Inf Syst. https://doi.org/10.1080/17517575.2020.1856422

    Article  Google Scholar 

  21. Liu X, Huang G, Zhao Q, Mei H (2014) Blake M (2014) iMashup: a mashup-based framework for service composition. Sci China Inf Sci 54(1):1–20

    Article  Google Scholar 

  22. Huang G, Liu Xuanzhe, Ma Yun, Xuan Lu, Zhang Ying, Xiong Yingfei (2019) Programming situational mobile web applications with cloud-mobile convergence: an internetware-oriented approach. IEEE Trans Serv Comput 12(1):6–19

    Article  Google Scholar 

  23. Chen X, Chen R, Yang C (2021) Research to key success factors of intelligent logistics based on IoT technology. J Supercomput. https://doi.org/10.1007/s11227-021-04009-7

    Article  Google Scholar 

  24. Chen X, Chen R, Yang C (2021) Research and design of fresh agricultural product distribution service model and framework using IoT technology. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-021-03447-8

    Article  Google Scholar 

  25. Chen R, Chen X, Yang C (2021) Using a task dependency job-scheduling method to make energy savings in a cloud computing environment. J Supercomput. https://doi.org/10.1007/s11227-021-04035-5

    Article  Google Scholar 

  26. Praveena K, Bhargavi K, Yogeshwari K (2017) Comparision of PSO and genetic algorithm in WSN using NS-2. In: 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), pp 513–516. https://doi.org/10.1109/CTCEEC.2017.8455121

  27. Zhang B (2014) Research on virtual network mapping algorithm. Xidian University, Xi’an, pp 1–71

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Academic Affairs Office, Dongguan City College, Dongguan, 523419, China

    Guanqaun Wu

  2. School of Information Engineering, Guangdong Innovative Technical College, Dongguan, 523960, China

    Desheng Zeng

Authors
  1. Guanqaun Wu
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Desheng Zeng
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Guanqaun Wu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, G., Zeng, D. Optimization of network resource management based on software-defined networking in the 5G environment. J Supercomput 78, 16721–16744 (2022). https://doi.org/10.1007/s11227-022-04547-8

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-022-04547-8

Keywords