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Computing Resource Allocation Based on Multi-base Station and Multi-user Scenario in Mobile Edge Computing

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Mobile Internet Security (MobiSec 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2095))

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Abstract

With the rapid development of 5G communication technology and the Internet of Things, a large number of new services have emerged on mobile terminal devices, which require low latency and high bandwidth, resulting in an explosive growth of mobile communication traffic. Traditional cloud computing is not a good solution to this situation. Therefore, mobile edge computing comes into being. Mobile Edge Computing (MEC) is a new computing mode. The edge server is deployed at the edge. The computing task generated by the mobile terminal device can be unloaded to the edge server that is physically closer to the mobile terminal device for processing. The problem of limited computing power of mobile terminal users is solved. At present, many researches on mobile edge computing are based on multi-user single-server scenarios. Based on this, this paper will study and analyze the resource allocation of the edge end in the multi-base station and multi-user scenario in mobile edge computing. Firstly, the multi-base station and multi-user application scenario model is described, and then the concept of edge computing resource allocation is proposed. Finally, the effectiveness of the two resource allocation algorithms is verified through simulation experiments. The results show that the proposed resource allocation scheme can effectively reduce the task processing delay of mobile users, and the dynamic minimum connection algorithm can allocate the computing resources at the edge more rationally.

Y. Zhong—Completed the experiment and the first draft.

Y. Du—Put forward the research direction.

J. Zhao—Completed the mathematical calculation.

Q. Gao—Assisted in revising the paper.

Y. Zou—Finished drawing.

Y. Luo—Is responsible for reviewing the papers.

K. Chao—Completed the data analysis.

Z. Yin—Was in charge of organizing the literature.

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Acknowledgments

This work is supported by the National Natural Science Key Foundation of China grant No. 62067003, No. 62262030, and No. 62363015, the Jiangxi Provincial Natural Science Foundation Under Grant No. 20224BAB212015, the Jiangxi Provincial 03 Special Project and 5G Project (20224ABC03A13, 20232ABC03A26), and the Foundation of Jiangxi Educational Committee Under Grant No. GJJ210338.

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Authors and Affiliations

  1. School of Software, Jiangxi Normal University, Nanchang, 330022, China

    Yaozhang Zhong, Yingkui Du, Jing Zhao, Qinghang Gao, Yujuan Zou, Yong Luo, Kailin Chao & Ziyu Yin

  2. Jiangxi Provincial Engineering Research Center of Blockchain Data Security and Governance, Nanchang, 330022, China

    Yaozhang Zhong, Yingkui Du, Jing Zhao, Qinghang Gao, Yujuan Zou, Yong Luo, Kailin Chao & Ziyu Yin

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  1. Yaozhang Zhong
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  2. Yingkui Du
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  8. Ziyu Yin
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Corresponding author

Correspondence to Jing Zhao .

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Editors and Affiliations

  1. Kookmin University, Seoul, Korea (Republic of)

    Ilsun You

  2. Bydgoszcz University of Science and Technology, Bydgoszcz, Poland

    Michał Choraś

  3. National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan

    Seonghan Shin

  4. Kookmin University, Seoul, Korea (Republic of)

    Hwankuk Kim

  5. University of San Carlos, Cebu, Philippines

    Philip Virgil Astillo

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zhong, Y. et al. (2024). Computing Resource Allocation Based on Multi-base Station and Multi-user Scenario in Mobile Edge Computing. In: You, I., Choraś, M., Shin, S., Kim, H., Astillo, P.V. (eds) Mobile Internet Security. MobiSec 2023. Communications in Computer and Information Science, vol 2095. Springer, Singapore. https://doi.org/10.1007/978-981-97-4465-7_3

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  • DOI: https://doi.org/10.1007/978-981-97-4465-7_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-4464-0

  • Online ISBN: 978-981-97-4465-7

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