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2023 | OriginalPaper | Buchkapitel

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

verfasst von : Daohua Zhu, Yajuan Guo, Lei Wei, Yunxiao Sun, Wei Liu

Erschienen in: Big Data and Security

Verlag: Springer Nature Singapore

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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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Nächstes Kapitel Virtualized Network Functions Placement Scheme in Cloud Network Collaborative Operation Platform

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Titel: Multi Slice SLA Collaboration and Optimization of Power 5G Big Data Security Business
verfasst von: Daohua Zhu
Yajuan Guo
Lei Wei
Yunxiao Sun
Wei Liu
Verlag: Springer Nature Singapore
Buch: Big Data and Security
Print ISBN: 978-981-9932-99-3

Electronic ISBN: 978-981-9933-00-6

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-99-3300-6_33

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