Measurement-based IoT Server Selection for Mobile Edge Computing

Bhooanusas, Nuntanut; Sou, Sok‐Ian

doi:10.23919/apnoms52696.2021.9562604

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Cited by 4 publications

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SeeMe: An intelligent edge server selection method for location‐aware business task computing over IIoT

et al. 2022

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In the past few years, latency‐sensitive task computing over the industrial internet of things (IIoT) has played a key role in an increasing number of intelligent applications, such as intelligent self‐driving vehicles and unmanned aircraft systems. The edge computing paradigm provides a basic functional infrastructure for across‐domain business task computing on distributed edge servers. With this observation, a trade‐off between the mobile devices and the fixed edge servers is needed to run moving task computing in a low‐latency way. Given this challenge, an intelligent server selection method, named SeeMe, is proposed in this paper. Technically speaking, this method aims at minimizing the communication capacity and the transferring capacity in a multiobjective optimization way to find a low‐latency edge server. The experiments and comparison analysis verify the availability of our method.

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