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MEC Application Migration by Using AdvantEDGE

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Tools for Design, Implementation and Verification of Emerging Information Technologies (TridentCom 2022)

Abstract

Multi-access Edge Computing (MEC) and 5G are key technologies for the development of new applications requiring low latency and for computation off-loading. Emulation tools, such as AdvantEDGE, allow to rapidly test new services and resource management techniques in the 5G-MEC infrastructure. The paper presents an experimental study aimed to show the usage of AdvantEDGE tool for evaluating the migration performance of a MEC application. The key aspect of the study is that the application mobility is obtained by using the migration of the Kubernetes (K8s) application pod. The standard K8s does not have the ability to support the pod migration in a cluster of nodes. While recent research proposes a mechanism to migrate pod, there is no work investigating the migration technique with the AdvantEDGE MEC solution. Referring to a video service, the paper shows a scheme developed during the experimental study to allow the pod migration when K8s is used with AdvantEDGE. Using the emulation of user mobility given by AdvantEDGE platform, the described experimental tests allow to show the performance of the MEC application migration.

This work was supported by the Norwegian Research Council through the 5G-MODaNeI project (no. 308909).

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Acknowledgment

This work was partially supported by the Norwegian Research Council through the 5G- MODaNeI project (no. 308909) and the Italian Ministry of Education and Research (MIUR) in the framework of the FoReLab project (Departments of Excellence).

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Correspondence to Prachi Vinod Wadatkar .

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wadatkar, P.V., Garroppo, R.G., Nencioni, G. (2023). MEC Application Migration by Using AdvantEDGE. In: Yu, S., Gu, B., Qu, Y., Wang, X. (eds) Tools for Design, Implementation and Verification of Emerging Information Technologies. TridentCom 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 489. Springer, Cham. https://doi.org/10.1007/978-3-031-33458-0_8

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  • DOI: https://doi.org/10.1007/978-3-031-33458-0_8

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  • Online ISBN: 978-3-031-33458-0

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