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Multi Slice SLA Collaboration and Optimization of Power 5G Big Data Security Business

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Big Data and Security (ICBDS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1796))

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Abstract

5G has become an important driving force for the digital transformation of the power industry. Especially today, with the increasing security risk of big data, the safe and available power 5G business plays an important role in improving power business innovation and user experience. This paper analyzes the demand level differences of different businesses for big data security in the application scenario of power 5G business, and establishes the SLA classification and classification model. On this basis, the power 5G business objective is divided into three processes: business perception, business execution and business SLA evaluation, which are assigned to the corresponding slices respectively. A power 5G slice perception collaborative optimization model is proposed and solved iteratively by multi-objective particle swarm optimization algorithm. Simulation experiments show that compared with the traditional 5G application mode, the proposed scheme can search and optimize the network resource allocation through the cooperation between slices, effectively schedule the slice resources and improve the operation efficiency and performance of power 5G service.

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Acknowledgement

This publication is supported by the science and technology project of State Grid Jiangsu Electric Power Co., Ltd. (Project No.: J2021125).

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Authors and Affiliations

  1. State Grid Jiangsu Electric Power Co., Ltd., Research Institute, Nanjing, 211103, China

    Daohua Zhu, Yajuan Guo, Yunxiao Sun & Wei Liu

  2. State Grid Jiangsu Electric Power Co., Nanjing, 211100, China

    Lei Wei

Authors
  1. Daohua Zhu
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  2. Yajuan Guo
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  3. Lei Wei
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  4. Yunxiao Sun
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  5. Wei Liu
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Corresponding author

Correspondence to Daohua Zhu .

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Editors and Affiliations

  1. Nanjing Institute of Technology, Nanjing, China

    Yuan Tian

  2. Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China

    Tinghuai Ma

  3. Chinese Academy of Sciences, Shenzhen, China

    Qingshan Jiang

  4. Nanjing University of Information Science and Technology, Nanjing, China

    Qi Liu

  5. King Saud University, Riyadh, Saudi Arabia

    Muhammad Khurram Khan

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zhu, D., Guo, Y., Wei, L., Sun, Y., Liu, W. (2023). Multi Slice SLA Collaboration and Optimization of Power 5G Big Data Security Business. In: Tian, Y., Ma, T., Jiang, Q., Liu, Q., Khan, M.K. (eds) Big Data and Security. ICBDS 2022. Communications in Computer and Information Science, vol 1796. Springer, Singapore. https://doi.org/10.1007/978-981-99-3300-6_33

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  • DOI: https://doi.org/10.1007/978-981-99-3300-6_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3299-3

  • Online ISBN: 978-981-99-3300-6

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