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An edge computing emulator incorporating moving devices and geospatial characteristics

Published: 05 September 2023 Publication History

Abstract

No abstract available.

References

[1]
Ramon R Fontes, Samira Afzal, Samuel HB Brito, Mateus AS Santos, and Christian Esteve Rothenberg. 2015. Mininet-WiFi: Emulating software-defined wireless networks. In International Conference on Network and Service Management (CNSM). IEEE, 384–389.
[2]
Mordechai Haklay and Patrick Weber. 2008. Openstreetmap: User-generated street maps. IEEE Pervasive computing 7, 4 (2008), 12–18.
[3]
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Michel, 2011. Scikit-learn: Machine learning in Python. the Journal of machine Learning research 12 (2011), 2825–2830.
[4]
M. Peuster, H. Karl, and S. van Rossem. 2016. MeDICINE: Rapid prototyping of production-ready network services in multi-PoP environments. In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). 148–153.

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  1. An edge computing emulator incorporating moving devices and geospatial characteristics

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        Published In

        cover image ACM Other conferences
        APNet '23: Proceedings of the 7th Asia-Pacific Workshop on Networking
        June 2023
        229 pages
        ISBN:9798400707827
        DOI:10.1145/3600061
        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 05 September 2023

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        Author Tags

        1. edge computing emulator
        2. geospatial features
        3. mobile devices

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        APNET 2023
        APNET 2023: 7th Asia-Pacific Workshop on Networking
        June 29 - 30, 2023
        Hong Kong, China

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        Overall Acceptance Rate 50 of 118 submissions, 42%

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