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Edge Performance Analysis Challenges in Mobile Simulation Scenarios

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Computer Performance Engineering (EPEW 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13659))

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Abstract

Multi-Access Edge Computing (MEC) based services are becoming very popular in research and innovation areas as there is a high expectation to solve many automation and security problems through wireless connections gathering streaming data that is processed at the edge or cloud layer of the network. Research efforts in this direction normally either stay at the theoretical level, or the heuristics are implemented on simulators that mainly cover an isolated part of the network architecture as experimenting real end-to-end scenarios implies the use of expensive infrastructure that is not normally available in research centres. This paper deals with a simulation framework developed for analysing MEC resource allocation algorithms performance covering the access network, edge and cloud infrastructure and the challenges we found during the process.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Miguel Hernandez University, Elche, Spain

    Cristina Bernad, Pedro J. Roig, Salvador Alcaraz & Katja Gilly

  2. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, North Macedonia

    Sonja Filiposka

Authors
  1. Cristina Bernad
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  2. Pedro J. Roig
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  3. Salvador Alcaraz
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  4. Katja Gilly
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  5. Sonja Filiposka
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Corresponding author

Correspondence to Katja Gilly .

Editor information

Editors and Affiliations

  1. Miguel Hernandez University, Elche, Spain

    Katja Gilly

  2. Newcastle University, Newcastle upon Tyne, UK

    Nigel Thomas

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Bernad, C., Roig, P.J., Alcaraz, S., Gilly, K., Filiposka, S. (2023). Edge Performance Analysis Challenges in Mobile Simulation Scenarios. In: Gilly, K., Thomas, N. (eds) Computer Performance Engineering. EPEW 2022. Lecture Notes in Computer Science, vol 13659. Springer, Cham. https://doi.org/10.1007/978-3-031-25049-1_10

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  • DOI: https://doi.org/10.1007/978-3-031-25049-1_10

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