VLSM Techniques for Optimizing Real IPv4 Networks

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Artificial intelligence and Machine Learning (IBIMA-AI 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2101))

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Abstract

In this paper, some mechanisms of IPv4 Variable Length Subnet Mask are mentioned, and a tool for their demonstration and explanation is presented. This tool is a graphical user interface software that allows users to create a table with a given range of IP addresses and show the relation between subnets with different sizes (length of subnet mask or prefix). It also solves cases where given IPv4 spaces have to be efficiently calculated for subnetworks with different sizes. The most useful function is to draw maps and topologies with dynamically assigned IP addresses. This tool allows users to create demo topologies and readdress them in real-time. Despite its primary teaching purpose, it is also a useful tool for network professionals.

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References

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Acknowledgements

The work described in this paper was financed from the funds of the Ministry of Science and Higher Education (0313/SBAD/1310 for year 2023).

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Correspondence to Marek Michalski .

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Michalski, M. (2024). VLSM Techniques for Optimizing Real IPv4 Networks. In: Soliman, K.S. (eds) Artificial intelligence and Machine Learning. IBIMA-AI 2023. Communications in Computer and Information Science, vol 2101. Springer, Cham. https://doi.org/10.1007/978-3-031-62843-6_20

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  • DOI: https://doi.org/10.1007/978-3-031-62843-6_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-62842-9

  • Online ISBN: 978-3-031-62843-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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