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High-Reliability Mapping Algorithm Based on Network Topology Characteristics in Network Slicing Environment

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Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13340))

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Abstract

In the network slicing environment, in order to solve the problem of low reliability of virtual network resources, this paper proposes a high-reliability mapping algorithm based on network topology characteristics. This algorithm is a heuristic resource allocation algorithm that simultaneously allocates the underlying nodes and the underlying links. The algorithm includes three steps: reliability attribute analysis of underlying network resources, reliability attribute analysis of virtual network resources, and resource allocation for virtual network requests. In order to analyze the reliability attributes of the underlying network resources, this paper calculates the weights and reliability values of the attributes of the underlying nodes and links based on the reliability attribute values of the underlying nodes and links. In the performance analysis link, the algorithm in this paper is compared with the traditional algorithm. From the two dimensions of the impact of the underlying network size on the algorithm performance and the impact of the underlying node failure rate on the algorithm performance, it is verified that the algorithm in this paper improves the reliability of the virtual network.

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Acknowledgement

This work was supported by Installation project of wireless service global access communication network management system of Dongguan Power Supply Bureau of Guangdong Power Grid Co., Ltd. (No. 031900GS62200248).

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Correspondence to Yin Yuan .

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Zou, Z., Xu, H., Yuan, Y. (2022). High-Reliability Mapping Algorithm Based on Network Topology Characteristics in Network Slicing Environment. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13340. Springer, Cham. https://doi.org/10.1007/978-3-031-06791-4_55

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  • DOI: https://doi.org/10.1007/978-3-031-06791-4_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06790-7

  • Online ISBN: 978-3-031-06791-4

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