Abstract
IoT devices are pillars for the Industry 4.0 software applications. However, clustering these edge nodes are interesting open challenges in several dimensions, because of mandatory integration of diverse hardware and software packages. Different type of industrial cameras and a supercomputer node to support 3D reconstructions is not a trivial approach, especially considering aspects of the IoT software engineering. In this paper, we present a research, which could be classified as an implementation science effort. The target is a heterogenous edge computing platform, utilized to support a real case study of an electrical engineering field application. This application is characterized by a 3D virtual reconstruction paradigm for the hydropower project. Our results indicate interesting aspects related to implementation science and challenges found in the composition and operationalization of this heterogenous edge platform.
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Acknowledgments
The authors acknowledge the financial funding and support of the following companies: TBE and EDP under supervision of ANEEL - The Brazilian Regulatory Agency of Electricity. Project number PD PD-02651-0013/2017. In addition, authors thank the sponsor from INESC Brazil, University of Grenoble Alpes, University of Juiz de Fora (UFJF), and Brazilian National Research Council (CNPq).
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Decamps, M., Meháut, JF., Vidal, V., Honorio, L., Pioli, L., Dantas, M.A.R. (2021). An Implementation Science Effort in a Heterogenous Edge Computing Platform to Support a Case Study of a Virtual Scenario Application. In: Barolli, L., Takizawa, M., Yoshihisa, T., Amato, F., Ikeda, M. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2020. Lecture Notes in Networks and Systems, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-030-61105-7_14
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DOI: https://doi.org/10.1007/978-3-030-61105-7_14
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